In mouse #BarrelCortex, slow recurrent background fluctuations appear to compensate for the tiny dendrites of L4 spiny stellate #neurons, allowing even single #thalamocortical #spikes to be reliably represented at the population level with millisecond precision.

🧡2/2

πŸ“ https://doi.org/10.1371/journal.pbio.3003789

#Neuroscience #CompNeuro #NeuralCoding #PopulationCoding #Cortex

The article explains how the brain processes the passage of time through three distinct processing stages across different cortical areas, from initial visual encoding to higher level time categorization and subjective perception.

The findings highlight a layered view of time processing, showing how physical duration becomes a subjective experience through spatially organized neural maps and stage-specific functions, which is of interest to psychology due to insights into perception, cognition, and decision making.

Article Title: The human brain processes the passage of time across three distinct stages

Link to PsyPost Article: https://nolinkpreview.com/www.psypost.org/the-human-brain-processes-the-passage-of-time-across-three-distinct-stages/

#timeperception #neuroscience #cognition #neuralcoding #visualperception #subjectiveexperience #frontallobe #parietalcortex #premotor #neuralmaps

RE: https://fediscience.org/@eLife/115871742804185192

Cool example of #theory meeting #biology: shows that efficient coding principles survive when models include realistic circuitry, noise, and metabolic constraints. A reminder that good theory does not require oversimplification.

#NeuralCoding #CompNeuro #Neuroscience

🧠 New preprint by Tilbury et al: Characterizing #NeuronalPopulation geometry with #AI equation discovery

The approach generates & evaluates 100s of candidate equations, finding "peaky" non-Gaussian tuning functions whose Fourier structure matches power-law dimensionality observed in real #V1 pops. Links shape of single-#neuron tuning to #PopulationLevel geometry using both data fits & analytical derivations.

🌍 https://doi.org/10.1101/2025.11.12.688086

#CompNeuro #Neuroscience #NeuralCoding #PopulationDynamics

🧠 New paper by Safaai et al. (2025): parietal #cortex output populations show highly structured, task-dependent population geometry. Using multi-area recordings and circuit modeling, they show that #parietal populations display organized task-related patterns rather than uniform mixed coding, and that distinct output groups shape how decisions are routed to downstream targets:

🌍 https://doi.org/10.1038/s41593-025-02095-x

#Neuroscience #NeuralCoding #ParietalCortex #PopulationDynamics #DecisionMaking

🧠 New preprint by Ruff, Markman, Kim & Cohen (2025): #NeuralPopulation formatting matters for function. In monkeys combining motion and reward, both middle temporal area (#MT) & dorsolateral prefrontal #cortex (#dlPFC) encode both signals. But MT formats them separately, dlPFC integrates them. A recurrent #RNN model predicted, and microstimulation confirmed, distinct #behavioral impacts.

🌍 https://www.biorxiv.org/content/10.1101/2025.01.03.631242v1

#Neuroscience #CompNeuro #DecisionMaking #NeuralCoding