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Visual areas

9 results

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…these timescales differently across visual areas in mice. In particular, the sign of correlations between speed and neural activity varies by region, highlighting the interplay between bottom-up sensory inputs, top-down pathways and connectivity motifs in shaping cortical dynamics. In addition, cortical circuits comprise a large diversity

ePoster · Computational Neuroscience

High-resolution 3D mapping of cat visual cortex using functional ultrasound imaging

Ábel Petik, Klaudia Csikos, Domonkos Horvath et al. · FENS Forum 2024

…an acquisition add-on, analysis and visualization pipeline that allows efficient identification of anatomical and functional layout of the brain in 3D. Leveraging the high signal quality of fUSI, we asked whether the acquisition of multi-cm 3D functional maps can be made compatible with chronic anesthetized experiment design. Since availability of large-brained species is low and their behavioral training can be prohibi

ePoster · Neuroscience

The steady-state visual evoked potential (SSVEP) is prevalent in cognitive neuroscience research yet much remains to be learned about how it is generated, including the relative contributions from different visual areas and the temporal delays among them. To address these questions, we exploited the idiosyncratic cortical folding patterns of retinotopically mapped visual areas to generate predictable variations in SSVEP topography across the visual field. Specifically, we regressed empirical topography variations against forward-model predictions generated by the Benson retinotopy atlas for di

ePoster · Neuroscience

Encoding of natural movies based on multi-neuron temporal spiking patterns

Boris Sotomayor, Francesco Battaglia, Martin Vinck · COSYNE 2022

The current dogma in neuroscience is that neurons primarily convey stimulus information through their firing rate. However, recent studies suggest a remarkable speed of sensory processing which may be incompatible with traditional rate-coding schemes, and it has been hypothesized that sensory encoding may rely on the spike timing relationships among neurons (Thorpe et al., 2001 and Resulaj et al., 2018). To study multi-neuron spiking patterns, we developed SpikeShip, an unsupervised, linear, geometry-based dissimilarity measure that aligns spikes across pairs of epochs based on optimal transpo

ePoster · Neuroscience

Modeling the formation of the visual hierarchy

Mikail Khona, Sarthak Chandra, Talia Konkle, Ila R Fiete · COSYNE 2022

The human visual cortex is modular, parcellated into a hierarchy of visual areas (V1, V2, V3, etc.) that abut each other in the brain. The areas are each retinotopically organized with several characteristing higher-level organizational features --- a notable example is that the polar angle of the retinotopic maps alternates (is mirrored) across area boundaries. Normative (task-trained) models of the dorsal visual stream capture important aspects of neural tuning, but typically only involve feedforward connections and already assume a hierarchical organization of a discrete set of areas. They

ePoster · Computational Neuroscience