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Neural Networks; particularly recurrent neural networks Training artificial neural networks when pre-classified training examples are not readily obtainable (neuroevolution) | Wikipedia - List of genetic algorithm applications | null | null | null |
Neural engineering (also known as neuroengineering) is a discipline that uses engineering techniques to understand, repair, replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs. | Wikipedia - Bioheat transfer | null | null | null |
Neural engineering and rehabilitation applies neuroscience and engineering to investigating peripheral and central nervous system function and to finding clinical solutions to problems created by brain damage or malfunction. Engineering applied to neuroregeneration focuses on engineering devices and materials that faci... | Wikipedia - Neural Engineering | null | null | null |
Neural interfaces are a major element used for studying neural systems and enhancing or replacing neuronal function with engineered devices. Engineers are challenged with developing electrodes that can selectively record from associated electronic circuits to collect information about the nervous system activity and to... | Wikipedia - Neural Engineering | null | null | null |
Microelectrode arrays are recent advances that can be used to study neural networks (Cullen & Pfister 2011). Optical neural interfaces involve optical recordings and optogenetics, making certain brain cells sensitive to light in order to modulate their activity. Fiber optics can be implanted in the brain to stimulate o... | Wikipedia - Neural Engineering | null | null | null |
Neural microsystems can be developed to interpret and deliver electrical, chemical, magnetic, and optical signals to neural tissue. They can detect variations in membrane potential and measure electrical properties such as spike population, amplitude, or rate by using electrodes, or by assessment of chemical concentrat... | Wikipedia - Neural Engineering | null | null | null |
Neural network models can be viewed as defining a function that takes an input (observation) and produces an output (decision) f: X → Y {\displaystyle \textstyle f:X\rightarrow Y} or a distribution over X {\displaystyle \textstyle X} or both X {\displaystyle \textstyle X} and Y {\displaystyle \textstyle Y} . Sometimes ... | Wikipedia - Mathematics of artificial neural networks | null | null | null |
This can be conveniently represented as a network structure, with arrows depicting the dependencies between functions. A widely used type of composition is the nonlinear weighted sum, where f ( x ) = K ( ∑ i w i g i ( x ) ) {\displaystyle \textstyle f(x)=K\left(\sum _{i}w_{i}g_{i}(x)\right)} , where K {\displaystyle \t... | Wikipedia - Mathematics of artificial neural networks | null | null | null |
The following refers to a collection of functions g i {\displaystyle \textstyle g_{i}} as a vector g = ( g 1 , g 2 , … , g n ) {\displaystyle \textstyle g=(g_{1},g_{2},\ldots ,g_{n})} . This figure depicts such a decomposition of f {\displaystyle \textstyle f} , with dependencies between variables indicated by arrows. ... | Wikipedia - Mathematics of artificial neural networks | null | null | null |
The first view is the functional view: the input x {\displaystyle \textstyle x} is transformed into a 3-dimensional vector h {\displaystyle \textstyle h} , which is then transformed into a 2-dimensional vector g {\displaystyle \textstyle g} , which is finally transformed into f {\displaystyle \textstyle f} . This view ... | Wikipedia - Mathematics of artificial neural networks | null | null | null |
This view is most commonly encountered in the context of graphical models. The two views are largely equivalent. In either case, for this particular architecture, the components of individual layers are independent of each other (e.g., the components of g {\displaystyle \textstyle g} are independent of each other given... | Wikipedia - Mathematics of artificial neural networks | null | null | null |
This naturally enables a degree of parallelism in the implementation. Networks such as the previous one are commonly called feedforward, because their graph is a directed acyclic graph. Networks with cycles are commonly called recurrent. Such networks are commonly depicted in the manner shown at the top of the figure, ... | Wikipedia - Mathematics of artificial neural networks | null | null | null |
Neural network-based artificial intelligence and fuzzy logic, when analyzed, are the same thing—the underlying logic of neural networks is fuzzy. A neural network will take a variety of valued inputs, give them different weights in relation to each other, and arrive at a decision, which normally also has a value. Nowhe... | Wikipedia - Fuzzy logics | null | null | null |
In the 1980s, researchers were divided about the most effective approach to machine learning: deductive models or neural networks. The former approach requires large decision trees and uses binary logic, matching the hardware on which it runs. The physical devices might be limited to binary logic, but AI can use softwa... | Wikipedia - Fuzzy logics | null | null | null |
Neural networks emerged as an attractive acoustic modeling approach in ASR in the late 1980s. Since then, neural networks have been used in many aspects of speech recognition such as phoneme classification, phoneme classification through multi-objective evolutionary algorithms, isolated word recognition, audiovisual sp... | Wikipedia - Speech to Text | null | null | null |
However, in spite of their effectiveness in classifying short-time units such as individual phonemes and isolated words, early neural networks were rarely successful for continuous recognition tasks because of their limited ability to model temporal dependencies. One approach to this limitation was to use neural networ... | Wikipedia - Speech to Text | null | null | null |
Neural networks modeled after the activities of the central nervous system have allowed researchers to solve problems impossible to solve by other means. Artificial neural networks are now being applied in various applications to further research in other fields. One notable non-biological application of the tensor net... | Wikipedia - Tensor network theory | null | null | null |
Neural networks, a special case of statistical machine learning methods, have been used to analyze authorship of texts. Texts of undisputed authorship are used to train a neural network by processes such as backpropagation, such that training error is calculated and used to update the process to increase accuracy. Thro... | Wikipedia - Computational stylistics | null | null | null |
Neural networks, both artificial and natural, produce a virtually unbounded variety of s.t. patterns, both in sensory perception, learning, thinking and reasoning as well as in spontaneous activity. It has for example been demonstrated that spiral waves, signatures of many excitable systems can occur in neocortical pre... | Wikipedia - Spatial pattern | null | null | null |
Neural plasticity refers to any change in the structure of the neural network that forms the central nervous system. Neural plasticity is the neuronal basis for changes in how the mind works, including learning, the formation of memory, and changes in intelligence. One well-studied form of plasticity is Long-Term Poten... | Wikipedia - Malleability of intelligence | null | null | null |
It refers to a change in neural connectivity as a result of high activation on both sides of a synaptic cleft. This change in neural connectivity allows information to be more easily processed, as the neural connection associated with that information becomes stronger through LTP. Other forms of plasticity involve the ... | Wikipedia - Malleability of intelligence | null | null | null |
Neural processing of contours was highlighted by the classical research by Hubel and Wiesel which revealed neural units right at the entrance of visual signals into the brain that respond preferentially to lines and edges. When the distribution of preferred orientation of these units was examined, there were fewer in t... | Wikipedia - Oblique effect | null | null | null |
Neural tissue regeneration, or neuroregeneration looks to restore function to those neurons that have been damaged in small injuries and larger injuries like those caused by traumatic brain injury. Functional restoration of damaged nerves involves re-establishment of a continuous pathway for regenerating axons to the s... | Wikipedia - Neural Engineering | null | null | null |
Neural-Network representations of quantum wave functions share some similarities with variational quantum states based on tensor networks. For example, connections with matrix product states have been established. These studies have shown that NQS support volume law scaling for the entropy of entanglement. In general, ... | Wikipedia - Neural network quantum states | null | null | null |
Neuroanatomical evidence from studies using fMRI scans of aesthetic preference show that representational paintings are preferred over abstract paintings. This is displayed through significant activation of brain regions related to preference ratings. To test this, researchers had participants view paintings that varie... | Wikipedia - Art psychology | null | null | null |
A positive correlation existed between preference ratings and response latency. FMRI results revealed that activity in the right caudate nucleus extending to putamen decreased in response to decreasing preference for paintings, while activity in the left cingulate sulcus, bilateral occipital gyri, bilateral fusiform gy... | Wikipedia - Art psychology | null | null | null |
EEG brain scans showed that while viewing abstract art, non-artists showed less arousal than artists. However, while viewing figurative art, both artists and non-artists had comparable arousal and ability to pay attention and evaluate the art stimuli. This suggests abstract art requires more expertise to appreciate it ... | Wikipedia - Art psychology | null | null | null |
Neuroanatomy is the study of the anatomy of nervous tissue and neural structures of the nervous system. Immunostaining Category: Neuroanatomy | Wikipedia - Outline of neuroscience | null | null | null |
Neurobiology has greatly influenced the development of computer vision algorithms. Over the last century, there has been an extensive study of eyes, neurons, and brain structures devoted to the processing visual stimuli in both humans and various animals. This has led to a coarse, yet convoluted, description of how nat... | Wikipedia - Applications of computer vision | null | null | null |
These results have led to a sub-field within computer vision where artificial systems are designed to mimic the processing and behavior of biological systems at different levels of complexity. Also, some of the learning-based methods developed within computer vision (e.g. neural net and deep learning based image and fe... | Wikipedia - Applications of computer vision | null | null | null |
Some strands of computer vision research are closely related to the study of biological vision—indeed, just as many strands of AI research are closely tied with research into human intelligence, and the use of stored knowledge to interpret, integrate and utilize visual information. The field of biological vision studie... | Wikipedia - Applications of computer vision | null | null | null |
Neurochemistry is the study of the different types, structures, and functions of neurons and their chemical components. Chemical signaling between neurons is mediated by neurotransmitters, neuropeptides, hormones, neuromodulators, and many other types of signaling molecules. Many neurological diseases arise due to an i... | Wikipedia - Neurochemistry | null | null | null |
Neurodata is valuable to advertising and marketing entities by its potential to identify how and why people react to different stimuli in order to better influence consumers. This ability to examine reactions and perceptions from the brain directly creates new ethical debates, such as how to define the acceptable limit... | Wikipedia - Neuroprivacy | null | null | null |
Neurodegeneration is classified as a massive death of neurons, and encompasses diseases such as Alzheimer's, Parkinson's, and Huntington's. Although many cells die due to necrosis, many cells in neurodegenerative disorders are killed via the apoptotic pathway. Excitotoxicity, which involves overstimulation of a cell vi... | Wikipedia - Clinical neurochemistry | null | null | null |
Other inducers include mitochondrial dysfunction, oxidative stress, and abnormal protein aggregation. Surprisingly, both necrotic and apoptotic processes utilize a similar intracellular signaling cascade which uses caspase proteins to induce cell death. Abnormal protein accumulation causes Alzheimer's, Parkinson's, and... | Wikipedia - Clinical neurochemistry | null | null | null |
Neurodegenerative conditions and Parkinson plus syndromes that can cause parkinsonism include: Corticobasal degeneration Dementia with Lewy bodies The relationship (if any) with essential tremor is not clear. Frontotemporal dementia (Pick's disease) Gerstmann–Sträussler–Scheinker syndrome Huntington's disease Lytico-bo... | Wikipedia - Parkinsonian syndrome | null | null | null |
Neurodegenerative disorders are a result of neuronal loss of function over time which lead to cell death. Examples of neurodegenerative disorders include Alzheimer's disease, Parkinson's disease, and Huntington's disease. The focus of translational neuroscience research is to investigate the molecular mechanisms for th... | Wikipedia - Translational neuroscience | null | null | null |
Neurodevelopmental disorders are characterized as disorders where the development of the nervous system was disrupted, and encompasses disorders such as learning disabilities, autism spectrum disorders (ASD), epilepsy, and certain neuromuscular disorders. Translational neuroscience research involves efforts to uncover ... | Wikipedia - Translational neuroscience | null | null | null |
Neurodivergent individuals are subjected to bias when applying and interviewing for job positions. Specifically, neurodivergent individuals can have their social engagement style compared to neurotypical individuals, which can affect their ability to obtain a job position. Stigmas against neurodivergence (especially ag... | Wikipedia - Neurologically typical | null | null | null |
Neurodiversity has recently been investigated as a new way of working within neurodevelopmental clinics in the UK. | Wikipedia - Neurologically typical | null | null | null |
Neuroethics also encompasses the ethical issues raised by neuroscience as it affects our understanding of the world and of ourselves in the world. For example, if everything we do is physically caused by our brains, which are in turn a product of our genes and our life experiences, how can we be held responsible for ou... | Wikipedia - Neuroethics | null | null | null |
In this way, neuroimaging evidence could suggest that there is no free will and each action a person makes is simply the product of past actions and biological impulses that are out of our control. The question of whether and how personal autonomy is compatible with neuroscience ethics and the responsibility of neurosc... | Wikipedia - Neuroethics | null | null | null |
President Barack Obama made recommendations to the Presidential Commission for the Study of Bioethical Issues as part of his $100 million Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. This Spring discussion resumed in a recent interview and article sponsored by Agence France-Presse (... | Wikipedia - Neuroethics | null | null | null |
Miguel Faria, a Professor of Neurosurgery and an Associate Editor in Chief of Surgical Neurology International, who was not involved in the Commission's work said, "any ethics approach must be based upon respect for the individual, as doctors pledge according to the Hippocratic Oath which includes vows to be humble, re... | Wikipedia - Neuroethics | null | null | null |
Neuroevolution involves the use of both neural networks and evolutionary algorithms. Instead of using gradient descent like most neural networks, neuroevolution models make use of evolutionary algorithms to update neurons in the network. Researchers claim that this process is less likely to get stuck in a local minimum... | Wikipedia - Machine learning in video games | null | null | null |
Neurogenesis also occurs in specific parts of the adult brain. | Wikipedia - Neuronal migration | null | null | null |
Neurogenesis occurs very little in adults, only occurring in the hypothalamus and striatum to a small extent in a process called adult neurogenesis. The volume of the brain actually decrease roughly 5% per decade after forty. It is currently unclear why brain volume decreases with age, however, a few causes may include... | Wikipedia - Neuroscience of aging | null | null | null |
However, one review found that the amygdala and ventromedial prefrontal cortex remained relatively free of atrophy, which is consistent with the finding of emotional stability occurring with non-pathological aging. Enlargement of the ventricles, sulci and fissures are also common in non-pathological aging.Changes may a... | Wikipedia - Neuroscience of aging | null | null | null |
Increased magnitude of hyperpolarization, possibly a result of dysfunctional calcium regulation, leads to decreased firing rate of neurons and decreased plasticity. This effect is particularly pronounced in the hippocampus of aged animals, and may be an important contributor to age-associated memory deficits. The hyper... | Wikipedia - Neuroscience of aging | null | null | null |
Neuroimaging comprises a variety of techniques used to observe the activity or the structures of, or within, the nervous system. Positron emission tomography (PET) has been used in animal models, such as non-human primate and rodent, to identify and target molecular mechanisms of neurological disease, and to study the ... | Wikipedia - Translational neuroscience | null | null | null |
Neuroimaging studies have provided evidence for links between brain damage and memory errors. Brain areas implicated include the frontal lobe and medial-temporal regions of the brain. Such damage may result in significant confabulations and source confusion. The prefrontal cortex is in charge of making heuristic judgme... | Wikipedia - Memory errors | null | null | null |
Thus, if the frontal region is damaged, these abilities will be impaired and memories may not be retrieved or evaluated correctly. For example, one patient who suffered frontal lobe damage after an automobile accident reported memories of the support his family provided for him after the accident, which in reality, was... | Wikipedia - Memory errors | null | null | null |
Neuroimaging techniques are used to investigate the activity of neural networks, as well as the structure and function of the brain. Neuroimaging technologies include functional magnetic resonance imaging (fMRI), magnetic resonance imaging (MRI), positron emission tomography (PET) and computed axial tomography (CAT) sc... | Wikipedia - Neural Engineering | null | null | null |
fMRI measures hemodynamic activity that is closely linked to neural activity. It is used to map metabolic responses in specific regions of the brain to a given task or stimulus. PET, CT scanners, and electroencephalography (EEG) are currently being improved and used for similar purposes. | Wikipedia - Neural Engineering | null | null | null |
Neuroinflammation, which is a fundamental reaction to brain injury, is characterized by the activation of resident microglia and astrocytes and local expression of a wide range of inflammatory mediators. Acute and chronic neuroinflammation has been studied in the mouse brain following exposure to HZE. The acute effect ... | Wikipedia - Central nervous system effects from radiation exposure during spaceflight | null | null | null |
The estimated RBE value of HZE irradiation for induction of an acute neuroinflammatory response is three compared to that of gamma irradiation. COX-2 pathways are implicated in neuroinflammatory processes that are caused by low-LET radiation. COX-2 up-regulation in irradiated microglia cells leads to prostaglandin E2 p... | Wikipedia - Central nervous system effects from radiation exposure during spaceflight | null | null | null |
Neuroinformatics (in context of library science) is also devoted to the development of neurobiology knowledge with computational models and analytical tools for sharing, integration, and analysis of experimental data and advancement of theories about the nervous system function. In the INCF context, this field refers t... | Wikipedia - Neuroinformatics | null | null | null |
Neuroinformatics is the scientific study of information flow and processing in the nervous system. Institute scientists utilize brain imaging techniques, such as magnetic resonance imaging, to reveal the organization of brain networks involved in human thought. Brain simulation is the concept of creating a functioning ... | Wikipedia - Neuroinformatics | null | null | null |
Neurologic lameness may be the result of infection, trauma, toxicities, or congenital disease. Neurological evaluation of a lame horse may be warranted if the cause of the lameness is not obvious. Signs more commonly associated with a neurologic cause include unilateral muscle atrophy, paresis, paralysis, or dysmetria.... | Wikipedia - Equine lameness | null | null | null |
Stringhalt: caused by damage to the long digital extensor muscle, or from eating the weed Hypochaeris radicata; it produces a gait characterized by rapid, spasmodic hyperflexion of the hind limbs. Shivers: a rare neuromuscular disorder characterized by muscle tremors, difficulty picking up the hind feet when asked to l... | Wikipedia - Equine lameness | null | null | null |
Cerebellar abiotrophy: a rare genetic disorder that occurs in Arabian horses, producing ataxia, a base-wide stance, proprioceptive deficits, and high-stepping gait. Damage to individual nerves will affect the muscles they innervate and subsequently alter gait. Radial nerve paralysis will cause a dropped elbow and make ... | Wikipedia - Equine lameness | null | null | null |
Suprascapular nerve damage will lead to atrophy of the main muscles of the shoulder (sweeny). Femoral nerve paralysis causes hyperflexion of the stifles, hocks, and fetlocks and the horse usually walks on the toe of the hind foot. Infectious causes affecting the nervous system may be bacterial, viral, protozoal, or ric... | Wikipedia - Equine lameness | null | null | null |
Neurological abnormalities are common. Roughly 45% of people with Parry–Romberg syndrome also have trigeminal neuralgia (severe pain in the tissues supplied by the ipsilateral trigeminal nerve, including the forehead, eye, cheek, nose, mouth and jaw) and/or migraine (severe headaches that may be accompanied by visual a... | Wikipedia - Facial hemiatrophy | null | null | null |
Neurological causes include: Optic neuritis Compressive optic neuropathies Papilledema: "The underlying mechanism for visual obscurations in all of these patients appear to be transient ischemia of the optic nerve head consequent to increased tissue pressure. Axonal swelling, intraneural masses, and increased influx of... | Wikipedia - Amaurosis fugax | null | null | null |
Generally, this transient visual loss is also associated with a headache and optic disk swelling. Multiple sclerosis can cause amaurosis fugax due to a unilateral conduction block, which is a result of demyelination and inflammation of the optic nerve, and "...possibly by defects in synaptic transmission and putative c... | Wikipedia - Amaurosis fugax | null | null | null |
Neurological disorders can be categorized according to the primary location affected, the primary type of dysfunction involved, or the primary type of cause. The broadest division is between central nervous system disorders and peripheral nervous system disorders. The Merck Manual lists brain, spinal cord and nerve dis... | Wikipedia - Neurologic disorders | null | null | null |
Neurological reparative therapy is not a program or a technique, but is better explained as a roadmap describing the journey of healing and repair of the mental processes preventing the individual from achieving personal goals and personal contentment. NRT outlines the goal and ultimate destination of treatment, and pr... | Wikipedia - Neurological reparative therapy | null | null | null |
Neurological research takes an empirical approach, relating mystical experiences to neurological processes. This leads to a central philosophical issue: does the identification of neural triggers or neural correlates of mystical experiences prove that mystical experiences are no more than brain events or does it merely... | Wikipedia - Eastern mysticism | null | null | null |
Neurological soft signs (NSS) are a group of minor non-focal neurological signs that include synkinesis. Other soft signs including clumsiness, and loss of fine motor movement are also commonly found in schizophrenia. NSS likely reflect impairments in sensory integration, motor coordination, and the carrying out of com... | Wikipedia - Focal neurologic signs | null | null | null |
Neurological surveillance is relevant to governmental, corporate, academic and technological entities, as the improvement of technology increases the amount of information that can be extrapolated from neuroimaging. Surveillance with current neuroimaging technology is considered difficult, given how fMRI data is diffic... | Wikipedia - Neuroprivacy | null | null | null |
Neurological symptoms include: tremor, general muscle weakness, hemiparesis, paralysis of a limb, abnormal muscle tone, gait disturbance, ataxia, speech disturbances, paraesthesia, hyperaesthesia, anaesthesia, visual disturbance, abnormal reflexes, seizures, and coma. Parkinson-like movements might arise due to non-spe... | Wikipedia - African trypanosomiasis | null | null | null |
Neurologist Antonio Damasio, in his book The Feeling Of What Happens, defines qualia as "the simple sensory qualities to be found in the blueness of the sky or the tone of sound produced by a cello, and the fundamental components of the images in the movie metaphor are thus made of qualia. ": 309 Damasio points out tha... | Wikipedia - Subjective experience | null | null | null |
In his view the way to do this is for "enough observers undertake rigorous observations according to the same experimental design; and that those observations be checked for consistency across observers and that they yield some form of measurement." He also thinks that "subjective observations can inspire objective ... | Wikipedia - Subjective experience | null | null | null |
Neurologist Rodolfo Llinás states in his book I of the Vortex that from a strictly neurological perspective, qualia exist and are important to the organism's survival. He argues that qualia were important for the evolution of the nervous system of organisms, including simple organisms such as insects: There are today t... | Wikipedia - Subjective experience | null | null | null |
This view relegates the more lowly animals, for example ants, to a realm characterized by the absence of subjective experiences of any kind. It implies that these animals are wired with sets of automatic, reflexively organized circuits that provide for survival by maintaining a successful, albeit purely reactive intera... | Wikipedia - Subjective experience | null | null | null |
To me, these views lack a proper evolutionary perspective, which is perhaps why qualia are given so little overall emphasis in the study of brain function. We clearly understand that the functional architecture of the brain is a product of the slow tumblings of evolution and that brain function implements what natural ... | Wikipedia - Subjective experience | null | null | null |
One cannot operate without qualia; they are properties of mind of monumental importance. : 201–221 Llinás argues that qualia are ancient and necessary for an organism's survival and a product of neuronal oscillation. | Wikipedia - Subjective experience | null | null | null |
He gives the evidence of anesthesia of the brain and subsequent stimulation of limbs to demonstrate that qualia can be "turned off" by changing only the variable of neuronal oscillation (local brain electrical activity), while all other connections remain intact. He argues for an oscillatory-electrical origin of qualia... | Wikipedia - Subjective experience | null | null | null |
Neurology is the medical specialty dealing with disorders of the nervous system. It deals with the diagnosis and treatment of all categories of disease involving the central, peripheral, and autonomic nervous systems. Stroke Parkinson's disease Alzheimer's disease Huntington's disease Multiple sclerosis Amyotrophic lat... | Wikipedia - Outline of neuroscience | null | null | null |
Neurology, psychiatry, neurosurgery, psychosurgery, anesthesiology and pain medicine, neuropathology, neuroradiology, ophthalmology, otolaryngology, clinical neurophysiology, addiction medicine, and sleep medicine are some medical specialties that specifically address the diseases of the nervous system. These terms als... | Wikipedia - Neuroscience | null | null | null |
Anesthesiology focuses on perception of pain, and pharmacologic alteration of consciousness. Neuropathology focuses upon the classification and underlying pathogenic mechanisms of central and peripheral nervous system and muscle diseases, with an emphasis on morphologic, microscopic, and chemically observable alteratio... | Wikipedia - Neuroscience | null | null | null |
Neuromechanics is the coupling of neurobiology, biomechanics, sensation and perception, and robotics (Edwards 2010). Researchers are using advanced techniques and models to study the mechanical properties of neural tissues and their effects on the tissues' ability to withstand and generate force and movements as well a... | Wikipedia - Neural Engineering | null | null | null |
Experimental analysis of biomechanics including the kinematics and dynamics of movements, the process and patterns of motor and sensory feedback during movement processes, and the circuit and synaptic organization of the brain responsible for motor control are all currently being researched to understand the complexity... | Wikipedia - Neural Engineering | null | null | null |
The study of neuromechanics is aimed at improving treatments for physiological health problems which includes optimization of prostheses design, restoration of movement post injury, and design and control of mobile robots. By studying structures in 3D hydrogels, researchers can identify new models of nerve cell mechano... | Wikipedia - Neural Engineering | null | null | null |
Neuromemristive systems is a subclass of neuromorphic computing systems that focuses on the use of memristors to implement neuroplasticity. While neuromorphic engineering focuses on mimicking biological behavior, neuromemristive systems focus on abstraction. For example, a neuromemristive system may replace the details... | Wikipedia - Neuromorphic computing | null | null | null |
Some of the applications reported recently include speech recognition, face recognition and object recognition. They also find applications in replacing conventional digital logic gates.For (quasi)ideal passive memristive circuits, the evolution of the memristive memories can be written in a closed form (Caravelli-Trav... | Wikipedia - Neuromorphic computing | null | null | null |
However, the hypothesis of the existence of an ideal memristor is debatable. In the equation above, α {\displaystyle \alpha } is the "forgetting" time scale constant, typically associated to memory volatility, while χ = R off − R on R off {\displaystyle \chi ={\frac {R_{\text{off}}-R_{\text{on}}}{R_{\text{off}}}}} is t... | Wikipedia - Neuromorphic computing | null | null | null |
The diagonal matrix and vector X = diag ( X → ) {\displaystyle X=\operatorname {diag} ({\vec {X}})} and X → {\displaystyle {\vec {X}}} respectively, are instead the internal value of the memristors, with values between 0 and 1. This equation thus requires adding extra constraints on the memory values in order to be r... | Wikipedia - Neuromorphic computing | null | null | null |
Neuromodulation aims to treat disease or injury by employing medical device technologies that would enhance or suppress activity of the nervous system with the delivery of pharmaceutical agents, electrical signals, or other forms of energy stimulus to re-establish balance in impaired regions of the brain. Researchers i... | Wikipedia - Neural Engineering | null | null | null |
Neuromorphic computing involves using electronic circuits to mimic the neurobiological architectures found in the human nervous system, with the goal of creating artificial neural systems that are inspired by biological ones. These systems can be implemented using a variety of hardware, such as memristors, spintronic m... | Wikipedia - Alternative computing | null | null | null |
Neuromorphic engineering is a branch of neuroscience that deals with creating functional physical models of neurons for the purposes of useful computation. The emergent computational properties of neuromorphic computers are fundamentally different from conventional computers in the sense that they are a complex system,... | Wikipedia - Brain science | null | null | null |
Neuromorphic engineering is for now set apart by the inspiration it takes from what we know about the structure and operations of the brain. Neuromorphic engineering translates what we know about the brain's function into computer systems. Work has mostly focused on replicating the analog nature of biological computati... | Wikipedia - Neuromorphic computing | null | null | null |
The biological processes of neurons and their synapses are dauntingly complex, and thus very difficult to artificially simulate. A key feature of biological brains is that all of the processing in neurons uses analog chemical signals. This makes it hard to replicate brains in computers because the current generation of... | Wikipedia - Neuromorphic computing | null | null | null |
However, the characteristics of these parts can be abstracted into mathematical functions that closely capture the essence of the neuron's operations. The goal of neuromorphic computing is not to perfectly mimic the brain and all of its functions, but instead to extract what is known of its structure and operations to ... | Wikipedia - Neuromorphic computing | null | null | null |
Neuron shape and structure, such as dendritic/axonal arborization, axonal geometry, synaptic contacts and soma location, is used for neuronal type classification. In acute slice preparations or in vivo the laminar position is noted as it has important functional consequences as well. The staining by biotin is performed... | Wikipedia - Patch-sequencing | null | null | null |
Imaging is done by two-dimensional tiled images by bright field transmission and fluorescence channels on individual cells and then processed in commercial or open-source software. Higher resolution images can be obtained from cultured neurons in comparison to acute slices, yielding higher quality morphological reconst... | Wikipedia - Patch-sequencing | null | null | null |
Neuronal adaptation refers to the fact that even in the presence of a constant current injection into the soma, the intervals between output spikes increase. An adaptive integrate-and-fire neuron model combines the leaky integration of voltage V with one or several adaptation variables wk (see Chapter 6.1. in the textb... | Wikipedia - Spiking neuron model | null | null | null |
The simplest model of adaptation has only a single adaptation variable w and the sum over k is removed. Integrate-and-fire neurons with one or several adaptation variables can account for a variety of neuronal firing patterns in response to constant stimulation, including adaptation, bursting and initial bursting. More... | Wikipedia - Spiking neuron model | null | null | null |
Neuronal oscillations are generated at many spatial and temporal scales of neuronal organization, and thought to provide a network-level mechanism for the coordination of spatio-temporally distributed spiking activity. For an adequate understanding of quantitative changes in neurophysiological signals, such as electroe... | Wikipedia - Neurophysiological Biomarker Toolbox | null | null | null |
The NBT toolbox includes biomarkers, such as: Standard spectral biomarkers Phase locking value Detrended fluctuation analysisThe toolbox has a standard template for how biomarkers should be implemented, which makes it relatively easy to implement new biomarkers. Originally the toolbox was aimed at biomarkers based on E... | Wikipedia - Neurophysiological Biomarker Toolbox | null | null | null |
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