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Batchelor, H. M.

Publications and source records attributed to Batchelor, H. M..

2 recordsLinked to original sources

Selective changes in cortical cholinergic signaling during learning

Cognition relies on the function of local and long-range neural circuits in the neocortex, which are dynamically regulated by neuromodulatory signals including acetylcholine (ACh). Recent work suggests that the role of acetylcholine varies across cortical areas and behavioral states. In addition, the precise role of cholinergic signaling during learning and plasticity remains unclear. We performed simultaneous, dual-color mesoscopic imaging of ACh and calcium signaling in the neocortex of awake mice across multiple stages of visual task learning to identify learning-related plasticity in neural activity and cholinergic signaling. Using a novel Pattern Reconstruction and Interpretation with a Structured Multimodal transformer (PRISMT) model combining masked autoencoding with multimodal causal attention, we identified key cortical regions that reorganize with learning. We found that cholinergic signaling exhibited spatiotemporally selective plasticity in frontal cortical subnetworks during visual perceptual learning. Overall, our findings demonstrate the utility of transformer models for generating biologically interpretable insight into large multimodal datasets and link long-term functional reorganization of cortical networks to enhanced task performance.

neuroscience↗

Dopamine transients delivered in learning contexts do not act as model-free prediction errors

Dopamine neurons fire transiently in response to unexpected rewards. These neural correlates are proposed to signal the reward prediction error described in model-free reinforcement learning algorithms. This error term represents the unpredicted or excess value of the rewarding event. In model-free reinforcement learning, this value is then stored as part of the learned value of any antecedent cues, contexts or events, making them intrinsically valuable, independent of the specific rewarding event that caused the prediction error. In support of equivalence between dopamine transients and this model-free error term, proponents cite causal optogenetic studies showing that artificially induced dopamine transients cause lasting changes in behavior. Yet none of these studies directly demonstrate the presence of cached value under conditions appropriate for associative learning. To address this gap in our knowledge, we conducted three studies where we optogenetically activated dopamine neurons while rats were learning associative relationships, both with and without reward. In each experiment, the antecedent cues failed to acquired value and instead entered into value-independent associative relationships with the other cues or rewards. These results show that dopamine transients, constrained within appropriate learning situations, support valueless associative learning.

neuroscience↗