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The neuroconnectionist research programme
Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
Large-scale neural recordings call for new insights to link brain and behavior
Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …
facing the challenge of connecting these brain-wide neural recordings to computation and …
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience
The study of complex behaviors is often challenging when using manual annotation due to
the absence of quantifiable behavioral definitions and the subjective nature of behavioral …
the absence of quantifiable behavioral definitions and the subjective nature of behavioral …
Learnable latent embeddings for joint behavioural and neural analysis
Map** behavioural actions to neural activity is a fundamental goal of neuroscience. As our
ability to record large neural and behavioural data increases, there is growing interest in …
ability to record large neural and behavioural data increases, there is growing interest in …
[كتاب][B] Active inference: the free energy principle in mind, brain, and behavior
T Parr, G Pezzulo, KJ Friston - 2022 - books.google.com
The first comprehensive treatment of active inference, an integrative perspective on brain,
cognition, and behavior used across multiple disciplines. Active inference is a way of …
cognition, and behavior used across multiple disciplines. Active inference is a way of …
Centering cognitive neuroscience on task demands and generalization
Cognitive neuroscience seeks generalizable theories explaining the relationship between
behavioral, physiological and mental states. In pursuit of such theories, we propose a …
behavioral, physiological and mental states. In pursuit of such theories, we propose a …
Non-reciprocal phase transitions
Out of equilibrium, a lack of reciprocity is the rule rather than the exception. Non-reciprocity
occurs, for instance, in active matter,,,,–, non-equilibrium systems,–, networks of neurons …
occurs, for instance, in active matter,,,,–, non-equilibrium systems,–, networks of neurons …
Two views on the cognitive brain
Cognition can be defined as computation over meaningful representations in the brain to
produce adaptive behaviour. There are two views on the relationship between cognition and …
produce adaptive behaviour. There are two views on the relationship between cognition and …
[PDF][PDF] Motor learning
Motor learning encompasses a wide range of phenomena, ranging from relatively low-level
mechanisms for maintaining calibration of our movements, to making high-level cognitive …
mechanisms for maintaining calibration of our movements, to making high-level cognitive …
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Quantifying behavior is crucial for many applications in neuroscience. Videography provides
easy methods for the observation and recording of animal behavior in diverse settings, yet …
easy methods for the observation and recording of animal behavior in diverse settings, yet …