4 papers
Topological Origin of the Diversity of Timescales in Recurrent Neural Circuits
Marco Zenari, Luca Taffarello, Luca Mazzucato +2
Structural and functional heterogeneity are hallmarks of cortical circuits, from broad degree distributions in the mouse connectome to diverse intrinsic neuronal timescales. Yet a…
Modulation of metastable ensemble dynamics explains the inverted-U relationship between tone discriminability and arousal in auditory cortex
Lia Papadopoulos, Suhyun Jo, Kevin Zumwalt +4
Past work has reported inverted-U relationships between arousal and auditory task performance, but the underlying neural network mechanisms remain unclear. To make progress, we rec…
Towards model-based design of causal manipulations of brain circuits with high spatiotemporal precision
Anandita De, Roozbeh Kiani, Luca Mazzucato
Recent advancements in neurotechnology enable precise spatiotemporal patterns of microstimulations with single-cell resolution. The choice of perturbation sites must satisfy two ke…
Expressivity of Neural Networks with Random Weights and Learned Biases
Ezekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo +4
Landmark universal function approximation results for neural networks with trained weights and biases provided the impetus for the ubiquitous use of neural networks as learning mod…