Mixed selectivity: Cellular computations for complexity
The property of mixed selectivity has been discussed at a computational level and offers a
strategy to maximize computational power by adding versatility to the functional role of each …
strategy to maximize computational power by adding versatility to the functional role of each …
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning
N Diekmann, S Vijayabaskaran, X Zeng… - Frontiers in …, 2023 - frontiersin.org
Reinforcement learning (RL) has become a popular paradigm for modeling animal behavior,
analyzing neuronal representations, and studying their emergence during learning. This …
analyzing neuronal representations, and studying their emergence during learning. This …
[HTML][HTML] Mixed selectivity in monkey anterior intraparietal area during visual and motor processes
Classical studies suggest that the anterior intraparietal area (AIP) contributes to the
encoding of specific information such as objects and actions of self and others, through a …
encoding of specific information such as objects and actions of self and others, through a …
Mixed selectivity coding of content-temporal detail by dorsomedial posterior parietal neurons
The dorsomedial posterior parietal cortex (dmPPC) is part of a higher-cognition network
implicated in elaborate processes underpinning memory formation, recollection, episode …
implicated in elaborate processes underpinning memory formation, recollection, episode …
Differential clustering of visual and choice-and saccade-related activity in macaque V3A and CIP
Neurons in sensory and motor cortices tend to aggregate in clusters with similar functional
properties. Within the primate dorsal (“where”) pathway, an important interface between …
properties. Within the primate dorsal (“where”) pathway, an important interface between …