Andrew Huberman joins Patrick O’Shaughnessy to discuss the frontier of neurotechnology and sustained human performance. Their conversation considers the convergence of AI and biotechnology, gene-based methods for changing neural activity and motivation, and the relationships between visual behaviour, arousal and sleep. Huberman is a neuroscientist and professor at Stanford University.
In Cognition and Neuroscience
Postdoctoral studies on the function of circuits and neuron subtypes (scholarship)
Karolinska Institutet
The Meletis laboratory in Neuroscience offers a postdoctoral scholarship in Solna to study neuron subtypes and circuits underlying motivation and decision-making, including mouse models of stress and mood disorders. Work combines genetic and viral labelling, in vivo imaging or optogenetics, and freely moving or head-fixed behavioural experiments in circuits such as the basal ganglia, hypothalamus and dopamine system. Single-cell profiles and connectivity maps support the research. Apply through Varbi by 13 October 2026 with a CV, publication list and one-page research summary.
How to Improve Motivation & Overcome Procrastination | Dr. Masud Husain
Aug 24, 2026
Masud Husain explains the neuroscience of motivation, dopamine, effort, and reward, together with research on apathy, dementia, Parkinson's disease, Alzheimer's disease, and cognitive resilience.
Essentials: Control Your Brain Chemistry for Focus, Motivation & Well-Being
Aug 6, 2026
Andrew Huberman explains how key neuromodulators shape motivation, energy, focus and mood, with science-supported behavioral, nutritional and supplement strategies.
What is So Interesting About Reinforcement Learning?
Andrew Barto · University of Massachusetts Amherst
Wed, Oct 29, 2025 · 15:00 UTC
This talk aims to answer these questions along four dimensions. First is history. RL was the basis of AI long before the term AI was introduced in 1956. The first machine learning (ML) systems were based on RL even before digital computers existed. Despite notable early successes of ML based on RL, RL essentially disappeared from ML until relatively recently. A second reason for renewed interest in RL is the clarification of some misunderstandings that have been prevalent in the ML community. A third, and most important, reason for this resurgence is that new, or rediscovered, algorithms and
Analogy Use in Parental Explanation
Yang Gao · Tsinghua University
Thu, Jul 7, 2022 · 13:45 UTC
How and why are analogies spontaneously generated? Despite the prominence of analogy in learning and reasoning, there is little research on whether and how analogy is spontaneously generated in everyday settings. Here we fill this gap by gathering parents' answers to children's real questions, and examining analogy use in parental explanations. Study 1 found that parents used analogy spontaneously in their explanations, despite no prompt nor mention of analogy in the instruction. Study 2 found that these analogical explanations were rated highly by parents, schoolteachers, and university stude
Chemistry of the adaptive mind: lessons from dopamine
Roshan Cools, PhD · Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Department of ...
Tue, Jun 14, 2022 · 10:00 UTC
The human brain faces a variety of computational dilemmas, including the flexibility/stability, the speed/accuracy and the labor/leisure tradeoff. I will argue that striatal dopamine is particularly well suited to dynamically regulate these computational tradeoffs depending on constantly changing task demands. This working hypothesis is grounded in evidence from recent studies on learning, motivation and cognitive control in human volunteers, using chemical PET, psychopharmacology, and/or fMRI. These studies also begin to elucidate the mechanisms underlying the huge variability in catecholamin
Can I be bothered? Neural and computational mechanisms underlying the dynamics of effort processing (BACN Early-career Prize Lecture 2021)
Matthew Apps · Centre for Human Brain Health, School of Psychology, University of Birmingham
Tue, May 24, 2022 · 15:00 UTC
From a workout at the gym to helping a colleague with their work, everyday we make decisions about whether we are willing to exert effort to obtain some sort of benefit. Increases in how effortful actions and cognitive processes are perceived to be has been linked to clinically severe impairments to motivation, such as apathy and fatigue, across many neurological and psychiatric conditions. However, the vast majority of neuroscience research has focused on understanding the benefits for acting, the rewards, and not on the effort required. As a result, the computational and neural mechanisms un
The structure of behavior entrained to long intervals
Tanya Gupta · Arizona State University, USA
Wed, Apr 21, 2021 · 04:30 UTC
Interpretation of interval timing data generated from animal models is complicated by ostensible motivational effects which arise from the delay-to-reward imposed by interval timing tasks, as well as overlap between timed and non-timed responses. These factors become increasingly prevalent at longer intervals. To address these concerns, two adjustments to long interval timing tasks are proposed. First, subjects should be afforded with reinforced non-timing behaviors concurrent with timing. Second, subjects should initiate the onset of timed stimuli. Under these conditions, interference by extr
Analogies, Games and the Learning of Mathematics
Jairo Navarrete · O’Higgins University
Thu, Oct 22, 2020 · 16:00 UTC
Research on analogical processing and reasoning has provided strong evidence that the use of adequate educational analogies has strong and positive effects on the learning of mathematics. In this talk I will show some experimental results suggesting that analogies based on spatial representations might be particularly effective to improve mathematics learning. Since fostering mathematics learning also involves addressing psychosocial factors such as the development of mathematical anxiety, providing social incentives to learn, and fostering engagement and motivation, I will argue that one area
The Lure of Authority: Motivation and Incentive Effects of Power
Ernst Fehr · University of Zurich
Thu, Feb 24, 2011 · 18:30 UTC
Ernst Fehr uses experimental evidence to examine the psychological consequences of authority in economic interactions. Although power pervades political, social and economic life, its motivational origins and effects are not fully understood. The lecture investigates why people want to exercise authority, how possessing it can strengthen motivation, and how being deprived of it can undermine motivation. These findings connect the allocation of decision-making power with incentives, cooperation and behaviour inside organisations.