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From brain synapses to systems for learning and memory: Object recognition, spatial navigation, timed conditioning,

Stephen Grossberg1

  • 1Center for Adaptive Systems, Graduate Program in Cognitive and Neural Systems, Center for Computational Neuroscience and Neural Technology, Department of Mathematics, Boston University, Boston, MA 02215, United States. Electronic address: http://cns.bu.edu/~steve.

Brain Research
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Summary

Neural models like Adaptive Resonance Theory (ART) explain synaptic learning and memory in adaptive behavior. ART models link consciousness, learning, and attention, with implications for conditions like autism and amnesia.

Keywords:
3D visionAdaptive resonance theoryAdaptively controlled conditioningAttentionAutismCategory learningCognitive working memoryEye movementGrid cellLaminar cortical circuitsLearningMedial temporal amnesiaMemoryPlace cellPredictive remappingSpatial navigationSpeech perceptionTime cellmGluR

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Area of Science:

  • Computational Neuroscience
  • Cognitive Science
  • Neurobiology

Background:

  • Synaptic learning and memory are crucial for adaptive behavior.
  • Neural circuits and systems critically influence how learning and memory are expressed.
  • Understanding these processes requires examining models of synaptic plasticity and their integration within larger brain architectures.

Purpose of the Study:

  • To provide an overview of neural models of synaptic learning and memory.
  • To review Adaptive Resonance Theory (ART) models and their role in category learning and memory stabilization.
  • To explore the mechanistic relationships between consciousness, learning, expectation, attention, resonance, and synchrony.

Main Methods:

  • Review of Adaptive Resonance Theory (ART) models.
  • Analysis of ARTSCAN architectures for unifying perceptual and attentional processes.
  • Examination of synaptic learning laws across different brain regions and behaviors.

Main Results:

  • ART models utilize excitatory matching and match-based learning for fast category acquisition.
  • Learned memories in ART are dynamically stabilized by top-down expectations and attentional focusing.
  • Vigilance regulation by acetylcholine impacts learning generality and can be implicated in autism and amnesia.

Conclusions:

  • Synaptic learning laws support diverse behaviors including object recognition, spatial navigation, and temporal conditioning.
  • Homologous circuit designs appear to support spatial and temporal processing in the entorhinal-hippocampal system.
  • Variations of neocortical circuits model complex functions like 3D vision, speech perception, and working memory.