The role of variability in motor learning

AK Dhawale, MA Smith… - Annual review of …, 2017 - annualreviews.org
Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and
widely considered to be the unwanted consequence of a noisy nervous system. However …

[PDF][PDF] Enhancing attentional control: lessons from action video games

D Bavelier, CS Green - Neuron, 2019 - cell.com
The possibility of leveraging video games for enhancing behavior and brain function has led
to an emerging new field situated at the crossroads of cognitive neuroscience, health …

Adaptive Feature Fusion: Enhancing Generalization in Deep Learning Models

N Mungoli - arXiv preprint arXiv:2304.03290, 2023 - arxiv.org
In recent years, deep learning models have demonstrated remarkable success in various
domains, such as computer vision, natural language processing, and speech recognition …

[PDF][PDF] Goals and habits in the brain

RJ Dolan, P Dayan - Neuron, 2013 - cell.com
An enduring and richly elaborated dichotomy in cognitive neuroscience is that of reflective
versus reflexive decision making and choice. Other literatures refer to the two ends of what is …

Reinforcement learning in artificial and biological systems

EO Neftci, BB Averbeck - Nature Machine Intelligence, 2019 - nature.com
There is and has been a fruitful flow of concepts and ideas between studies of learning in
biological and artificial systems. Much early work that led to the development of …

Robust speech perception: recognize the familiar, generalize to the similar, and adapt to the novel.

DF Kleinschmidt, TF Jaeger - Psychological review, 2015 - psycnet.apa.org
Successful speech perception requires that listeners map the acoustic signal to linguistic
categories. These mappings are not only probabilistic, but change depending on the …

Learning, reward, and decision making

JP O'Doherty, J Cockburn… - Annual review of …, 2017 - annualreviews.org
In this review, we summarize findings supporting the existence of multiple behavioral
strategies for controlling reward-related behavior, including a dichotomy between the goal …

An opportunity cost model of subjective effort and task performance

R Kurzban, A Duckworth, JW Kable… - Behavioral and brain …, 2013 - cambridge.org
Why does performing certain tasks cause the aversive experience of mental effort and
concomitant deterioration in task performance? One explanation posits a physical resource …

[PDF][PDF] Dynamic interaction between reinforcement learning and attention in multidimensional environments

YC Leong, A Radulescu, R Daniel, V DeWoskin, Y Niv - Neuron, 2017 - cell.com
Little is known about the relationship between attention and learning during decision
making. Using eye tracking and multivariate pattern analysis of fMRI data, we measured …

Hierarchical reinforcement learning for air-to-air combat

AP Pope, JS Ide, D Mićović, H Diaz… - 2021 international …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is becoming a critical component in the defense industry, as
recently demonstrated by DARPA's AlphaDogfight Trials (ADT). ADT sought to vet the …