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Found 6 papers, 0 papers with code
Probabilistic modeling reveals coordinated social interaction states and their multisensory bases
Social behavior across animal species ranges from simple pairwise interactions to thousands of individuals coordinating goal-directed movements.
Expressivity of Neural Networks with Random Weights and Learned Biases
Landmark universal function approximation results for neural networks with trained weights and biases provided impetus for the ubiquitous use of neural networks as learning models in Artificial Intelligence (AI) and neuroscience.
Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex
Specifically, we show that optimal stimulus discriminability is achieved near a transition between a multi-attractor phase with metastable cluster dynamics (low arousal) and a single-attractor phase (high arousal).
Multi-tasking via baseline control in recurrent neural networks
Changes in an animal's behavioral state, such as arousal and movements, induce {complex modulations of the baseline input currents to sensory areas, eliciting sensory modality-specific effects.
Neural mechanisms underlying the temporal organization of naturalistic animal behavior
Naturalistic animal behavior exhibits a strikingly complex organization in the temporal domain, whose variability stems from at least three sources: hierarchical, contextual, and stochastic.
State-dependent regulation of cortical processing speed via gain modulation
Our results establish a novel theory of cell-type specific perturbations, applicable to top-down modulation as well as optogenetic and pharmacological manipulations.
