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Multi-electrode arrays

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End-to-end pipeline to achieve state-of-the-art cell typing in large-scale retinal recordings

Chiara Boscarino, Simone Azeglio, Thomas Buffet et al. · Bernstein Conference 2024

Reliably identifying cell types is crucial for understanding neural systems (1). However, classifying the neurons recorded in large-scale population recordings into well-defined types remains a challenge. While some methods rely on genetic targeting or anatomy for classification, a functional approach used in sensory systems is to analyze neuronal responses to stimuli that elicit distinguishable responses across different types (2, 3, 4). Yet, previous approaches of this nature have been limited by a restricted set of stimuli and scalability issues, thus preventing comprehensive characterizati

ePoster · Computational Neuroscience

…such as electrical stimulation via multi-electrode arrays, might perturb the recurrent cortical dynamics. Furthermore, investigating these questions directly remains difficult as we rarely have the opportunity to probe the human cortex in-vivo. From this limitation and thanks to the current exponential increase in

ePoster · Computational Neuroscience

Probing right-hemispheric neuronal representations in the language network of an individual with aphasia

Felix Waitzmann, Laura Schiffl, Lisa Held et al. · Bernstein Conference 2024

The human language system comprises a series of processing stages across multiple brain regions typically lateralized to the left cerebral hemisphere. In the event of stroke or other injury to these systems, neural circuits reorganize in an attempt to restore lost function. However, the neural processes and learned representations underlying language network reorganization remain unclear. Here, we present data from a first-of-its-kind human case study involving chronic intracortical recordings from the right cerebral hemisphere of a patient with non-fluent aphasia with severe left-hemispheric

ePoster · Clinical Neurology

Recognizing others’ emotions based on facial expressions is a core component of human social interactions. Previous studies (Wang and Adolphs 2017) have suggested that autistic individuals show differences in their facial emotion recognition compared to neurotypical adults. What are the neural mechanisms that account for these observed differences? Here we lay the groundwork for a new approach combining cutting-edge computational and empirical non-human primate work to test theories of atypical facial emotion recognition in autistic adults. In a recent study, the author(s) observed that artifi

ePoster · Neuroscience

Efficient coding and receptive field coordination in the retina

Greg Field · Duke University School of Medicine

…We use multi-electrode arrays to record the activity of hundreds of retina neurons simultaneously in conjunction with transgenic mouse lines and chemogenetics to manipulate neural circuit function. We are interested in three major areas. First, we work to understand how neurons in the retina are functionally connected. Second we are studying how light-adaptation and circadian rhythms alter visual processing in the retina. Finally, we are working to understand the mechanisms of retinal deg

Mon, Jun 21, 2021 · 15:00 UTC

Seminar · Vision Science