177 citations · 413 across the 4 of their papers we have counts for
6 papers
Data Augmentation for Automated Adaptive Rodent Training
Dibyendu Das, Alfredo Fontanini, Joshua F. Kogan +3
Fully optimized automation of behavioral training protocols for lab animals like rodents has long been a coveted goal for researchers. It is an otherwise labor-intensive and time-c…
Metastable dynamics of neural circuits and networks
Braden A. W. Brinkman, Han Yan, Arianna Maffei +4
Cortical neurons emit seemingly erratic trains of action potentials or "spikes," and neural network dynamics emerge from the coordinated spiking activity within neural circuits. Th…
Cortical computations via metastable activity
Giancarlo La Camera, Alfredo Fontanini, Luca Mazzucato
Metastable brain dynamics are characterized by abrupt, jump-like modulations so that the neural activity in single trials appears to unfold as a sequence of discrete, quasi-station…
Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli
Luca Mazzucato, Giancarlo La Camera, Alfredo Fontanini
Sensory stimuli can be recognized more rapidly when they are expected. This phenomenon depends on expectation affecting the cortical processing of sensory information. However, vir…
Stimuli reduce the dimensionality of cortical activity
Luca Mazzucato, Alfredo Fontanini, Giancarlo La Camera
The activity of ensembles of simultaneously recorded neurons can be represented as a set of points in the space of firing rates. Even though the dimension of this space is equal to…
Dynamics of multi-stable states during ongoing and evoked cortical activity
Luca Mazzucato, Alfredo Fontanini, Giancarlo La Camera
Single trial analyses of ensemble activity in alert animals demonstrate that cortical circuits dynamics evolve through temporal sequences of metastable states. Metastability has be…