[HTML][HTML] Minimal cross-trial generalization in learning the representation of an odor-guided choice task

M Song, YK Takahashi, AC Burton… - PLoS computational …, 2022 - journals.plos.org
There is no single way to represent a task. Indeed, despite experiencing the same task
events and contingencies, different subjects may form distinct task representations. As …

Inferring learning rules from animal decision-making

Z Ashwood, NA Roy, JH Bak… - Advances in Neural …, 2020 - proceedings.neurips.cc
How do animals learn? This remains an elusive question in neuroscience. Whereas
reinforcement learning often focuses on the design of algorithms that enable artificial agents …

Task-dependent behavioral dynamics make the case for temporal integration in multiple strategies during odor processing

DE Frederick, A Brown, S Tacopina… - Journal of …, 2017 - Soc Neuroscience
Differing results in olfactory-based decision-making research regarding the amount of time
that rats and mice use to identify odors have led to some disagreements about odor …

Rat behavior in go/no-go and two-alternative choice odor discrimination: differences and similarities.

DE Frederick, D Rojas-Líbano, M Scott… - Behavioral …, 2011 - psycnet.apa.org
To elucidate the cognitive structures of animals, neuroscientists use several behavioral
tasks. Therefore, it is imperative to have a firm understanding of each task's behavioral …

Efficient coding of cognitive variables underlies dopamine response and choice behavior

A Motiwala, S Soares, BV Atallah, JJ Paton… - Nature …, 2022 - nature.com
Reward expectations based on internal knowledge of the external environment are a core
component of adaptive behavior. However, internal knowledge may be inaccurate or …

Dopamine responses reveal efficient coding of cognitive variables

A Motiwala, S Soares, BV Atallah, JJ Paton… - bioRxiv, 2020 - biorxiv.org
Reward expectations based on internal knowledge of the external environment are a core
component of adaptive behavior. However, internal knowledge may be inaccurate or …

Optimality-based reward learning with applications to toxicology

SJ Weisenthal, M Eckard, A Ertefaie… - arXiv preprint arXiv …, 2024 - arxiv.org
In toxicology research, experiments are often conducted to determine the effect of toxicant
exposure on the behavior of mice, where mice are randomized to receive the toxicant or not …

[HTML][HTML] The limits of deliberation in a perceptual decision task

HA Zariwala, A Kepecs, N Uchida, J Hirokawa… - Neuron, 2013 - cell.com
While it is commonly assumed that decisions taken slowly result in superior outcomes, is it
possible that optimal decision making does not always require sacrificing speed? For odor …

[HTML][HTML] Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning

A Konovalov, I Krajbich - Nature communications, 2016 - nature.com
Organisms appear to learn and make decisions using different strategies known as model-
free and model-based learning; the former is mere reinforcement of previously rewarded …

[HTML][HTML] Non-action learning: saving action-associated cost serves as a covert reward

S Tanimoto, M Kondo, K Morita, E Yoshida… - Frontiers in Behavioral …, 2020 - frontiersin.org
“To do or not to do” is a fundamental decision that has to be made in daily life. Behaviors
related to multiple “to do” choice tasks have long been explained by reinforcement learning …