30 citations · 52 across the 8 of their papers we have counts for
9 papers
Driven criticality links universal computation and optimal representations
Adrián Roig, Miguel A. Muñoz, Guillermo B. Morales
Near-critical dynamics are often linked to enhanced computation, but the underlying mechanism remains unclear. We address this question in reservoir computing, where a fixed recurr…
Representational Drift and Learning-Induced Stabilization in the Olfactory Cortex
Guillermo B. Morales, Miguel A. Muñoz, Yuhai Tu
The brain encodes external stimuli through patterns of neural activity, forming internal representations of the world. Recent experiments show that neural representations for a giv…
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain
Rubén Calvo, Carles Martorell, Guillermo B. Morales +2
Recent analyses combining advanced theoretical techniques and high-quality data from thousands of simultaneously recorded neurons provide strong support for the hypothesis that neu…
The dynamics of neural codes in biological and artificial neural networks
Guillermo B. Morales
Advancing our knowledge of how the brain processes information remains a key challenge in neuroscience. This thesis combines three different approaches to the study of the dynamics…
Unveiling the intrinsic dynamics of biological and artificial neural networks: from criticality to optimal representations
Guillermo B. Morales, Serena Di Santo, Miguel A. Muñoz
Deciphering the underpinnings of the dynamical processes leading to information transmission, processing, and storing in the brain is a crucial challenge in neuroscience. An inspir…
Quasi-universal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics
Guillermo B. Morales, Serena Di Santo, Miguel A. Munoz
The brain is in a state of perpetual reverberant neural activity, even in the absence of specific tasks or stimuli. Shedding light on the origin and functional significance of such…
Optimal input representation in neural systems at the edge of chaos
Guillermo B. Morales, Miguel A. Muñoz
Shedding light onto how biological systems represent, process and store information in noisy environments is a key and challenging goal. A stimulating, though controversial, hypoth…
Unveiling the role of plasticity rules in reservoir computing
Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano
Reservoir Computing (RC) is an appealing approach in Machine Learning that combines the high computational capabilities of Recurrent Neural Networks with a fast and easy training m…
Measles-induced immune amnesia and its effects in concurrent epidemics
Guillermo B. Morales, Miguel A. Muñoz
It has been recently discovered that the measles virus can wipe out the adaptive immune system, destroying B lymphocytes and reducing the diversity of non-specific B cells of the i…