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Complex cells in the primary visual cortex gain direction selectivity through synaptic plasticity, not just simple cell inputs. This suggests a new model for adaptive motion detection in the brain.

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Area of Science:

Neuroscience
Computational Neuroscience
Visual Processing

Background:

Complex cells in the primary visual cortex display nonlinear receptive field properties, including phase-invariant direction selectivity.
Existing models often assume complex cell properties derive from simple cell outputs, but this is challenged by evidence of direct LGN inputs or stimuli bypassing simple cells.

Purpose of the Study:

To investigate whether complex cell-like direction selectivity can emerge in model neurons without relying on antecedent simple cell inputs.
To explore the role of spike-timing dependent synaptic plasticity in developing direction selectivity.

Main Methods:

Utilized a biophysically detailed computational model of recurrently connected cortical neurons.
Employed reverse correlation and 2-bar interaction mapping to analyze model neuron receptive fields.

Main Results:

Demonstrated that complex cell-like direction selectivity can emerge solely from spike-timing dependent synaptic plasticity during simulated visual development.
Model neuron receptive fields mirrored those observed in complex cells in awake monkey primary visual cortex.

Conclusions:

Complex cell direction selectivity may arise intrinsically within cortical circuits via activity-dependent plasticity, rather than solely from feedforward inputs.
Suggests complex cells are key components of adaptive neural circuits for motion detection and prediction.