Martin Vinck

Oct 17, 2024 | cell.com | Martin Vinck |Cem Uran |Brian Paul Rummell |Andres Canales-Johnson

Keywordspredictive processingpredictive codingclassical hierarchical predictive codingdendritic hierarchical predictive codingrhythmsoscillationssynchronizationdynamicsgammaalphabetafeedforwardfeedbackhierarchyefficient codingplasticityTheories of neural dynamics and their role in predictive processingTo construct an internal model of the environment, the brain performs inference on the statistical nature of its inputs by integrating sensory evidence with prior knowledge [1,2].

May 16, 2024 | cell.com | Georgios Spyropoulos |Marius Schneider |Jochem van Kempen |Marc Alwin Gieselmann |Martin Vinck

Highlights•Macaque V1-V4 recordings reveal laminar and cell-type specific effects of attention•Layers II/III neurons in V4 show strongest and earliest attentional rate modulation•Layer IV interneurons in V4 but not excitatory neurons phase-lock to V1 gamma rhythm•Mice and monkeys show similar laminar and cell-type specific synchronization patternsSummarySelective attention is thought to depend on enhanced firing activity in extrastriate areas.

Apr 18, 2024 | biorxiv.org | Pietro Marchesi |Jeroen Bos |Martin Vinck |Cyriel M. A. Pennartz

AbstractCompressed hippocampal place-cell sequences have been associated with memory storage, retrieval and planning, but it remains unclear how they align with activity in the parahippocampal cortex. In a visuospatial discrimination task, we found a wide repertoire of hippocampal place cell sequences, which recapitulated paths across the task environment.

Nov 10, 2023 | biorxiv.org | Boris Sotomayor-Gomez |Francesco P. Battaglia |Martin Vinck

AbstractInformation in the nervous system is encoded by the spiking patterns of large populations of neurons. The analysis of such high-dimensional data is typically restricted to simple, arbitrarily defined features like spike rates, which discards information in the temporal structure of spike trains. Here, we use a recently developed method called SpikeShip based on optimal transport theory, which captures information from all of the relative spike-timing relations among neurons.

Aug 27, 2023 | biorxiv.org | Matteo Saponati |Martin Vinck

AbstractAnticipating future events is a key computational task for neuronal networks. Experimental evidence suggests that reliable temporal sequences in neural activity play a functional role in the association and anticipation of events in time. However, how neurons can differentiate and anticipate multiple spike sequences remains largely unknown.