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{
  "field_id": "F043",
  "field": "computational neuroscience",
  "directions": [
    {
      "direction_id": "G0",
      "name": "Models of biological representations and computation",
      "scope": "Develop and test models that characterize visual-cortical responses to images, feature selectivity, and spatial organization, or explain the computational strategies used in biological perception, recognition, and neural function."
    },
    {
      "direction_id": "G1",
      "name": "Decoding stimuli, states and outcomes from neural activity",
      "scope": "Infer targets beyond the recordings from brain recordings, including the identity or content of viewed visual stimuli, cognitive and affective states, decision-process parameters, and future clinical events."
    },
    {
      "direction_id": "G2",
      "name": "Inference of neural population organization from recordings",
      "scope": "Recover the latent temporal organization of population activity or relationships among neural units and brain regions from neural recordings, including dynamic structure across recording conditions and network interactions that vary with state or time."
    },
    {
      "direction_id": "G3",
      "name": "Neural representation and mechanisms of language processing",
      "scope": "Explain how language or speech information is reflected in brain responses and how biological neural systems acquire, recognize, or construct linguistic structure."
    },
    {
      "direction_id": "G4",
      "name": "Biological mechanisms and constraints of circuit learning",
      "scope": "Investigate how connectivity, synaptic plasticity, and signals available to biological systems constrain and enable learning and adaptation in neural circuits."
    },
    {
      "direction_id": "G5",
      "name": "Spatial neural representations for navigation",
      "scope": "Explain how spatial coding, spatial memory, and structured activity in neural systems support representations of location, path integration, replay, and navigation."
    },
    {
      "direction_id": "G6",
      "name": "Predictive action and active perception",
      "scope": "Explain how predictions of action consequences and task goals guide action selection, especially gaze, visual sampling, and other perceptual-motor decisions."
    }
  ]
}