Sequential optimal design of neurophysiology experiments
J Lewi, R Butera, L Paninski - Neural computation, 2009 - ieeexplore.ieee.org
Adaptively optimizing experiments has the potential to significantly reduce the number of
trials needed to build parametric statistical models of neural systems. However, application …
trials needed to build parametric statistical models of neural systems. However, application …
Direction selectivity in Drosophila emerges from preferred-direction enhancement and null-direction suppression
Across animal phyla, motion vision relies on neurons that respond preferentially to stimuli
moving in one, preferred direction over the opposite, null direction. In the elementary motion …
moving in one, preferred direction over the opposite, null direction. In the elementary motion …
Optogenetic approaches to retinal prosthesis
The concept of visual restoration via retinal prosthesis arguably started in 1992 with the
discovery that some of the retinal cells were still intact in those with the retinitis pigmentosa …
discovery that some of the retinal cells were still intact in those with the retinitis pigmentosa …
Using human visual system modeling for bio-inspired low level image processing
An efficient modeling of the processing occurring at retina level and in the V1 visual cortex
has been proposed in [1, 2]. The aim of the paper is to show the advantages of using such a …
has been proposed in [1, 2]. The aim of the paper is to show the advantages of using such a …
Contextual signals in visual cortex
Highlights•Visual perception is dependent on intentions, expectations and actions.•Recent
work has uncovered novel circuits influencing visual processing.•Understanding these …
work has uncovered novel circuits influencing visual processing.•Understanding these …
Functional mechanisms shaping lateral geniculate responses to artificial and natural stimuli
Functional models of the early visual system should predict responses not only to simple
artificial stimuli but also to sequences of complex natural scenes. An ideal testbed for such …
artificial stimuli but also to sequences of complex natural scenes. An ideal testbed for such …
Disentangling the independent contributions of visual and conceptual features to the spatiotemporal dynamics of scene categorization
Human scene categorization is characterized by its remarkable speed. While many visual
and conceptual features have been linked to this ability, significant correlations exist …
and conceptual features have been linked to this ability, significant correlations exist …
Uncovering motifs of concurrent signaling across multiple neuronal populations
Modern recording techniques now allow us to record from distinct neuronal populations in
different brain networks. However, especially as we consider multiple (more than two) …
different brain networks. However, especially as we consider multiple (more than two) …
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex
JA Livezey, KE Bouchard… - PLoS computational …, 2019 - journals.plos.org
A fundamental challenge in neuroscience is to understand what structure in the world is
represented in spatially distributed patterns of neural activity from multiple single-trial …
represented in spatially distributed patterns of neural activity from multiple single-trial …
Computational advances towards linking BOLD and behavior
JT Serences, S Saproo - Neuropsychologia, 2012 - Elsevier
Traditionally, fMRI studies have focused on analyzing the mean response amplitude within a
cortical area. However, the mean response is blind to many important patterns of cortical …
cortical area. However, the mean response is blind to many important patterns of cortical …