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C, Sekirnjak Lh, Jepson P, Hottowy Alexander Sher W, Dabrowski Alan Litke Ej, Chichilnisky
Published in
Journal of Neurophysiology
Retinitis pigmentosa (RP) is a leading cause of degenerative vision loss, yet its progressive effects on visual signals transmitted from the retina to the brain are not well understood. The transgenic P23H rat is a valuable model of human autosomal dominant RP, exhibiting extensive similarities to the human disease pathology, time course, and elect...
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Ta, Szuts V, Fadeyev S, Kachiguine Alexander Sher Mv, Grivich M, Agrochão P, Hottowy W, Dabrowski Ev, Lubenov Ag, Siapas
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Published in
Nature Neuroscience
Conventional neural recording systems restrict behavioral experiments to a flat indoor environment compatible with the cable that tethers the subject to recording instruments. To overcome these constraints, we developed a wireless multi-channel system for recording neural signals from rats. The device takes up to 64 voltage signals from implanted e...
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Gd, Field M, Greschner Jl, Gauthier C, Rangel J, Shlens Alexander Sher Dw, Marshak Alan Litke Ej, Chichilnisky
Published in
Nature Neuroscience
Small bistratified cells (SBCs) in the primate retina carry a major blue-yellow opponent signal to the brain. We found that SBCs also carry signals from rod photoreceptors, with the same sign as S cone input. SBCs exhibited robust responses under low scotopic conditions. Physiological and anatomical experiments indicated that this rod input arose f...
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E, Doi Jl, Gauthier Gd, Field J, Shlens Alexander Sher M, Greschner Ta, Machado Lh, Jepson K, Mathieson De, Gunning
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Published in
Journal of Neuroscience
Sensory neurons have been hypothesized to efficiently encode signals from the natural environment subject to resource constraints. The predictions of this efficient coding hypothesis regarding the spatial filtering properties of the visual system have been found consistent with human perception, but they have not been compared directly with neural ...
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Ja, Shanks S, Ito L, Schaevitz J, Yamada Bin Chen Alan Litke David Feldheim
Published in
Journal of Neuroscience
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P, Hottowy A, Skoczeń De, Gunning S, Kachiguine K, Mathieson Alexander Sher P, Wiącek Alan Litke W, Dąbrowski
Published in
Journal of Neural Engineering
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Ja, Shanks S, Ito L, Schaevitz J, Yamada B, Chen Alan Litke Da, Feldheim
Published in
Journal of Neuroscience
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Lh, Jepson P, Hottowy K, Mathieson De, Gunning W, Dabrowski Alan Litke Ej, Chichilnisky
Published in
Journal of Neuroscience
Electrical stimulation of retinal neurons with an advanced retinal prosthesis may eventually provide high-resolution artificial vision to the blind. However, the success of future prostheses depends on the ability to activate the major parallel visual pathways of the human visual system. Electrical stimulation of the five numerically dominant retin...
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Lh, Jepson P, Hottowy K, Mathieson De, Gunning W, Dąbrowski Alan Litke Ej, Chichilnisky
Published in
Journal of Neuroscience
Retinal prostheses electrically stimulate neurons to produce artificial vision in people blinded by photoreceptor degenerative diseases. The limited spatial resolution of current devices results in indiscriminate stimulation of interleaved cells of different types, precluding veridical reproduction of natural activity patterns in the retinal output...
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Gd, Field Alexander Sher Jl, Gauthier M, Greschner J, Shlens Alan Litke Ej, Chichilnisky
Published in
Journal of Neuroscience
The primate visual system consists of parallel pathways initiated by distinct cell types in the retina that encode different features of the visual scene. Small bistratified cells (SBCs), which form a major projection to the thalamus, exhibit blue-ON/yellow-OFF [S-ON/(L+M)-OFF] light responses thought to be important for high-acuity color vision. H...
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Ph, Li Gd, Field M, Greschner D, Ahn De, Gunning K, Mathieson Alexander Sher Alan Litke Ej, Chichilnisky
Published in
Neuron
The propagation of visual signals from individual cone photoreceptors through parallel neural circuits was examined in the primate retina. Targeted stimulation of individual cones was combined with simultaneous recording from multiple retinal ganglion cells of identified types. The visual signal initiated by an individual cone produced strong respo...
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Nm, Timme S, Ito M, Myroshnychenko S, Nigam M, Shimono Fc, Yeh P, Hottowy Alan Litke Jm, Beggs
Published in
PLoS Computational Biology
Recent work has shown that functional connectivity among cortical neurons is highly varied, with a small percentage of neurons having many more connections than others. Also, recent theoretical developments now make it possible to quantify how neurons modify information from the connections they receive. Therefore, it is now possible to investigate...
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S, Ito Fc, Yeh E, Hiolski P, Rydygier De, Gunning P, Hottowy N, Timme Alan Litke Jm, Beggs
Understanding the detailed circuitry of functioning neuronal networks is one of the major goals of neuroscience. Recent improvements in neuronal recording techniques have made it possible to record the spiking activity from hundreds of neurons simultaneously with sub-millisecond temporal resolution. Here we used a 512-channel multielectrode array s...
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S, Ito Me, Hansen R, Heiland A, Lumsdaine Alan Litke Jm, Beggs
Transfer entropy (TE) is an information-theoretic measure which has received recent attention in neuroscience for its potential to identify effective connectivity between neurons. Calculating TE for large ensembles of spiking neurons is computationally intensive, and has caused most investigators to probe neural interactions at only a single time d...
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Jl, Gauthier Gd, Field Alexander Sher M, Greschner J, Shlens Alan Litke Ej, Chichilnisky
Published in
PLoS Biology
In the visual system, large ensembles of neurons collectively sample visual space with receptive fields (RFs). A puzzling problem is how neural ensembles provide a uniform, high-resolution visual representation in spite of irregularities in the RFs of individual cells. This problem was approached by simultaneously mapping the RFs of hundreds of pri...
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J, Shlens Gd, Field Jl, Gauthier M, Greschner Alexander Sher Alan Litke Ej, Chichilnisky
Published in
Journal of Neuroscience
Synchronized firing among neurons has been proposed to constitute an elementary aspect of the neural code in sensory and motor systems. However, it remains unclear how synchronized firing affects the large-scale patterns of activity and redundancy of visual signals in a complete population of neurons. We recorded simultaneously from hundreds of ret...
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J, Freeman Gd, Field Ph, Li M, Greschner De, Gunning K, Mathieson Alexander Sher Alan Litke L, Paninski Ep, Simoncelli
...
Published in
eLife
The function of a neural circuit is shaped by the computations performed by its interneurons, which in many cases are not easily accessible to experimental investigation. Here, we elucidate the transformation of visual signals flowing from the input to the output of the primate retina, using a combination of large-scale multi-electrode recordings f...
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C, Sekirnjak P, Hottowy Alexander Sher W, Dabrowski Alan Litke Ej, Chichilnisky
Published in
Journal of Neuroscience
The development of retinal implants for the blind depends crucially on understanding how neurons in the retina respond to electrical stimulation. This study used multielectrode arrays to stimulate ganglion cells in the peripheral macaque retina, which is very similar to the human retina. Analysis was restricted to parasol cells, which form one of t...
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A, Tang D, Jackson J, Hobbs W, Chen Jl, Smith H, Patel A, Prieto D, Petrusca Mi, Grivich Alexander Sher
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Published in
Journal of Neuroscience
Multineuron firing patterns are often observed, yet are predicted to be rare by models that assume independent firing. To explain these correlated network states, two groups recently applied a second-order maximum entropy model that used only observed firing rates and pairwise interactions as parameters (Schneidman et al., 2006; Shlens et al., 2006...
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Ph, Li Jl, Gauthier M, Schiff Alexander Sher D, Ahn Gd, Field M, Greschner Em, Callaway Alan Litke Ej, Chichilnisky
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Published in
Journal of Neuroscience
This study combines for the first time two major approaches to understanding the function and structure of neural circuits: large-scale multielectrode recordings, and confocal imaging of labeled neurons. To achieve this end, we develop a novel approach to the central problem of anatomically identifying recorded cells, based on the electrical image:...