This article presents a review of computational methods for connectivity inference from neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning …
Responses of sensory neurons differ across repeated measurements. This variability is usually treated as stochasticity arising within neurons or neural circuits. However, some …
A Das, IR Fiete - Nature Neuroscience, 2020 - nature.com
Understanding the mechanisms of neural computation and learning will require knowledge of the underlying circuitry. Because it is difficult to directly measure the wiring diagrams of …
Responses of sensory neurons represent stimulus information, but are also influenced by internal state. For example, when monkeys direct their attention to a visual stimulus, the …
A Ingrosso, S Goldt - … of the National Academy of Sciences, 2022 - National Acad Sciences
Exploiting data invariances is crucial for efficient learning in both artificial and biological neural circuits. Understanding how neural networks can discover appropriate …
R Azeredo da Silveira, F Rieke - Annual Review of …, 2021 - annualreviews.org
Neurons in the brain represent information in their collective activity. The fidelity of this neural population code depends on whether and how variability in the response of one …
H Shimazaki, S Amari, EN Brown… - PLoS computational …, 2012 - journals.plos.org
Precise spike coordination between the spiking activities of multiple neurons is suggested as an indication of coordinated network activity in active cell assemblies. Spike correlation …
As information flows through the brain, neuronal firing progresses from encoding the world as sensed by the animal to driving the motor output of subsequent behavior. One of the more …