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To understand how the brain processes sensory information to guide behavior, we must know how stimulus representations are transformed throughout the visual cortex. Here we report an open, large-scale physiological survey of activity in the awake mouse visual cortex: the Allen Brain Observatory Visual Coding dataset. This publicly available dataset includes the cortical activity of nearly 60,000 neurons from six visual areas, four layers, and 12 transgenic mouse lines in a total of 243 adult mice, in response to a systematic set of visual stimuli. We classify neurons on the basis of joint reliabilities to multiple stimuli and validate this functional classification with models of visual responses. While most classes are characterized by responses to specific subsets of the stimuli, the largest class is not reliably responsive to any of the stimuli and becomes progressively larger in higher visual areas. These classes reveal a functional organization wherein putative dorsal areas show specialization for visual motion signals.
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http://dx.doi.org/10.1038/s41593-019-0550-9 | DOI Listing |
PLoS Comput Biol
September 2025
Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey, United States of America.
Research into the mechanisms underlying neuromodulation by tES using in-vivo animal models is key to overcoming experimental limitations in humans and essential to building a detailed understanding of the in-vivo consequences of tES. Insights from such animal models are needed to develop targeted and effective therapeutic applications of non-invasive brain stimulation in humans. The sheer difference in scale and geometry between animal models and the human brain contributes to the complexity of designing and interpreting animal studies.
View Article and Find Full Text PDFCereb Cortex
August 2025
Nencki Institute of Experimental Biology, PAS, 3 Pasteur Street, 02-093 Warsaw, Poland.
In the visual cortices, receptive fields (RFs) are arranged in a gradient from small sizes in the center of the visual field to the largest sizes at the periphery. Using functional magnetic resonance imaging (fMRI) mapping of population RFs, we investigated RF adaptation in V1, V2, and V3 in patients after long-term photoreceptor degeneration affecting the central (Stargardt disease [STGD]) and peripheral (Retinitis Pigmentosa [RP]) regions of the retina. In controls, we temporarily limited the visual field to the central 10° to model peripheral loss.
View Article and Find Full Text PDFJ Mot Behav
September 2025
Department Department of Physical Therapy, Faculty of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan.
Visual-motor illusion (VMI) is a kinesthetic illusion produced by viewing an image showing joint motion. VMI with enhanced joint movement intensity (power-VMI; P-VMI) is expected to activate a wide range of motor association brain regions, and when combined with electrical stimulation that activates the motor sensory cortex, further activation of brain activity can be expected. This study aimed to verify the effectiveness of VMI using functional near-infrared spectroscopy to confirm brain activity during combined P-VMI and electrical stimulation.
View Article and Find Full Text PDFNeuropsychopharmacology
September 2025
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Severe worry is a transdiagnostic, highly prevalent symptom, difficult to treat and associated with significant morbidity in late life. Understanding the neural correlates of worry induction and reappraisal in older adults is key to developing novel treatments. We recruited 124 older adults ( ≥ 50 years old) with varying worry severity and clinical comorbidity (27% generalized anxiety disorder, 23% depressive disorders).
View Article and Find Full Text PDFNeuropsychopharmacology
September 2025
Neuroscience Center, HiLIFE, University of Helsinki, Helsinki, Finland.
Chronic treatment with fluoxetine, a widely prescribed selective serotonin reuptake inhibitor (SSRI), is known to promote neural plasticity. The role of fluoxetine in plasticity has been particularly tied to parvalbumin-positive interneurons, a key population of GABAergic neurons that regulate inhibitory tone and network stability. While our previous studies have highlighted fluoxetine-induced plasticity in the visual cortex and hippocampus, its cell-type-specific effects in the prefrontal cortex (PFC) remain unclear.
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