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Full-Text Articles in Neurosciences
Differential Modification Of Cortical And Thalamic Projections To Cat Primary Auditory Cortex Following Early- And Late-Onset Deafness., Nicole Chabot, Blake E Butler, Stephen G Lomber
Differential Modification Of Cortical And Thalamic Projections To Cat Primary Auditory Cortex Following Early- And Late-Onset Deafness., Nicole Chabot, Blake E Butler, Stephen G Lomber
Brain and Mind Institute Researchers' Publications
Following sensory deprivation, primary somatosensory and visual cortices undergo crossmodal plasticity, which subserves the remaining modalities. However, controversy remains regarding the neuroplastic potential of primary auditory cortex (A1). To examine this, we identified cortical and thalamic projections to A1 in hearing cats and those with early- and late-onset deafness. Following early deafness, inputs from second auditory cortex (A2) are amplified, whereas the number originating in the dorsal zone (DZ) decreases. In addition, inputs from the dorsal medial geniculate nucleus (dMGN) increase, whereas those from the ventral division (vMGN) are reduced. In late-deaf cats, projections from the anterior auditory field (AAF) …
Finding The Engram., Sheena A Josselyn, Stefan Köhler, Paul W Frankland
Finding The Engram., Sheena A Josselyn, Stefan Köhler, Paul W Frankland
Brain and Mind Institute Researchers' Publications
Many attempts have been made to localize the physical trace of a memory, or engram, in the brain. However, until recently, engrams have remained largely elusive. In this Review, we develop four defining criteria that enable us to critically assess the recent progress that has been made towards finding the engram. Recent 'capture' studies use novel approaches to tag populations of neurons that are active during memory encoding, thereby allowing these engram-associated neurons to be manipulated at later times. We propose that findings from these capture studies represent considerable progress in allowing us to observe, erase and express the engram.
Connectionist Perspectives On Language Learning, Representation And Processing., Marc F Joanisse, James L Mcclelland
Connectionist Perspectives On Language Learning, Representation And Processing., Marc F Joanisse, James L Mcclelland
Brain and Mind Institute Researchers' Publications
The field of formal linguistics was founded on the premise that language is mentally represented as a deterministic symbolic grammar. While this approach has captured many important characteristics of the world's languages, it has also led to a tendency to focus theoretical questions on the correct formalization of grammatical rules while also de-emphasizing the role of learning and statistics in language development and processing. In this review we present a different approach to language research that has emerged from the parallel distributed processing or 'connectionist' enterprise. In the connectionist framework, mental operations are studied by simulating learning and processing within …
Attentional Filtering Of Visual Information By Neuronal Ensembles In The Primate Lateral Prefrontal Cortex., Sébastien Tremblay, Florian Pieper, Adam Sachs, Julio Martinez-Trujillo
Attentional Filtering Of Visual Information By Neuronal Ensembles In The Primate Lateral Prefrontal Cortex., Sébastien Tremblay, Florian Pieper, Adam Sachs, Julio Martinez-Trujillo
Brain and Mind Institute Researchers' Publications
The activity of neurons in the primate lateral prefrontal cortex (LPFC) is strongly modulated by visual attention. Such a modulation has mostly been documented by averaging the activity of independently recorded neurons over repeated experimental trials. However, in realistic settings, ensembles of simultaneously active LPFC neurons must generate attentional signals on a single-trial basis, despite the individual and correlated variability of neuronal responses. Whether, under these circumstances, the LPFC can reliably generate attentional signals is unclear. Here, we show that the simultaneous activity of neuronal ensembles in the primate LPFC can be reliably decoded to predict the allocation of attention …