7 papers · ranked by Valyu relevance
Stefano Panzeri, Jakob H. Macke, Joachim Gross, Christoph Kayser
Title: Highlights 1. • Neural population codes are organized at multiple spatial scales. 2. • Microscopic organization of neural codes reveals a key role of neural heterogeneity. 3. • Microscopic and population dynamics interact to make processing state-dependent. 4. • Additional computational analyses of neural…
Thomas E. Yerxa, Eric Kee, Michael R. DeWeese, Emily A. Cooper + 1 more
'Alan Alfred Stocker'] According to the efficient coding hypothesis, sensory systems are adapted to maximize their ability to encode information about the environment. Sensory neurons play a key role in encoding by selectively modulating their firing rate for a subset of all possible stimuli. This pattern of modulation…
Richard Naud, Wulfram Gerstner, Olaf Sporns
The response of a neuron to a time-dependent stimulus, as measured in a Peri-Stimulus-Time-Histogram (PSTH), exhibits an intricate temporal structure that reflects potential temporal coding principles. Here we analyze the encoding and decoding of PSTHs for spiking neurons with arbitrary refractoriness and adaptation.…
Michael J. Berry II, Gašper Tkačik
We propose that correlations among neurons are generically strong enough to organize neural activity patterns into a discrete set of clusters, which can each be viewed as a population codeword. Our reasoning starts with the analysis of retinal ganglion cell data using maximum entropy models, showing that the population…
Mikhail V. Kiselev
At present, it is obvious that different sections of nervous system utilize different methods for information coding. Primary afferent signals in most cases are represented in form of spike trains using a combination of rate coding and population coding while there are clear evidences that temporal coding is used in…
Meng Li, Joe Z. Tsien
A major stumbling block to cracking the real-time neural code is neuronal variability - neurons discharge spikes with enormous variability not only across trials within the same experiments but also in resting states. Such variability is widely regarded as a noise which is often deliberately averaged out during data…
He Chen, Jun Kunimatsu, Tomomichi Oya, Yuri Imaizumi + 5 more
'Masayuki Matsumoto' 'Takafumi Minamimoto' 'Yuji Naya' 'Hiroshi Yamada'] Title: Abstract Neural population dynamics provide a key computational framework for understanding information processing in the sensory, cognitive, and motor functions of the brain. They systematically depict complex neural population activity…