3 research outputs found
Familiarization: A theory of repetition suppression predicts interference between overlapping cortical representations
Repetition suppression refers to a reduction in the cortical response to a novel stimulus that
results from repeated presentation of the stimulus. We demonstrate repetition suppression
in a well established computational model of cortical plasticity, according to which the relative
strengths of lateral inhibitory interactions are modified by Hebbian learning. We present
the model as an extension to the traditional account of repetition suppression offered by
sharpening theory, which emphasises the contribution of afferent plasticity, by instead
attributing the effect primarily to plasticity of intra-cortical circuitry. In support, repetition suppression
is shown to emerge in simulations with plasticity enabled only in intra-cortical connections.
We show in simulation how an extended ‘inhibitory sharpening theory’ can explain
the disruption of repetition suppression reported in studies that include an intermediate
phase of exposure to additional novel stimuli composed of features similar to those of the
original stimulus. The model suggests a re-interpretation of repetition suppression as a manifestation
of the process by which an initially distributed representation of a novel object
becomes a more localist representation. Thus, inhibitory sharpening may constitute a more
general process by which representation emerges from cortical re-organisation