Beyond AOPs: A mechanistic evaluation of NAMs in DART testing
R Rajagopal, MT Baltazar, PL Carmichael… - Frontiers in …, 2022 - frontiersin.org
New Approach Methodologies (NAMs) promise to offer a unique opportunity to enable
human-relevant safety decisions to be made without the need for animal testing in the …
human-relevant safety decisions to be made without the need for animal testing in the …
IRS1 expression in hippocampus is age-dependent and is required for mature spine maintenance and neuritogenesis
S Sánchez-Sarasúa, M Meseguer-Beltrán… - Molecular and Cellular …, 2022 - Elsevier
Insulin and insulin-like growth factor type I (IGF-1) play prominent roles in brain activity
throughout the lifespan. Insulin/IGF1 signaling starts with the activation of the intracellular …
throughout the lifespan. Insulin/IGF1 signaling starts with the activation of the intracellular …
Error-based or target-based? A unified framework for learning in recurrent spiking networks
The field of recurrent neural networks is over-populated by a variety of proposed learning
rules and protocols. The scope of this work is to define a generalized framework, to move a …
rules and protocols. The scope of this work is to define a generalized framework, to move a …
Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks
Recurrent spiking neural networks (RSNN) in the brain learn to perform a wide range of
perceptual, cognitive and motor tasks very efficiently in terms of energy consumption and …
perceptual, cognitive and motor tasks very efficiently in terms of energy consumption and …
State-dependent mean-field formalism to model different activity states in conductance-based networks of spiking neurons
More interest has been shown in recent years to large-scale spiking simulations of cerebral
neuronal networks, coming both from the presence of high-performance computers and …
neuronal networks, coming both from the presence of high-performance computers and …
Koopman correlations underlie linear response and causality
G Di Antonio, GV Vinci - arXiv preprint arXiv:2410.08708, 2024 - arxiv.org
The inference of causal relationships among observed variables is a pivotal, longstanding
problem in the scientific community. An intuitive method for quantifying these causal links …
problem in the scientific community. An intuitive method for quantifying these causal links …
Modulation of dynamics in a pre-existing hippocampal network by neural stem cells on a microelectrode array
F Moriya, K Shimba, K Kotani… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Neural stem cells (NSCs) are continuously produced throughout life in the
hippocampus, which is a vital structure for learning and memory. NSCs in the brain …
hippocampus, which is a vital structure for learning and memory. NSCs in the brain …
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
Generalized linear models are one of the most efficient paradigms for predicting the
correlated stochastic activity of neuronal networks in response to external stimuli, with …
correlated stochastic activity of neuronal networks in response to external stimuli, with …
Cytosolic PSD-95 interactor alters functional organization of neural circuits and AMPA receptor signaling independent of PSD-95 binding
AR Rodriguez, ED Anderson, KM O'neill… - Network …, 2021 - direct.mit.edu
Abstract Cytosolic PSD-95 interactor (cypin) regulates many aspects of neuronal
development and function, ranging from dendritogenesis to synaptic protein localization …
development and function, ranging from dendritogenesis to synaptic protein localization …
Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse
The development of novel techniques to record wide-field brain activity enables estimation
of data-driven models from thousands of recording channels and hence across large …
of data-driven models from thousands of recording channels and hence across large …