- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neural and Behavioral Psychology Studies
- Neuroscience and Neural Engineering
- Receptor Mechanisms and Signaling
- Olfactory and Sensory Function Studies
- Neurobiology and Insect Physiology Research
- Advanced Memory and Neural Computing
- Functional Brain Connectivity Studies
- Decision-Making and Behavioral Economics
- Neural Networks and Applications
- Nicotinic Acetylcholine Receptors Study
- stochastic dynamics and bifurcation
- Neurotransmitter Receptor Influence on Behavior
- EEG and Brain-Computer Interfaces
- Neuroendocrine regulation and behavior
- Experimental Behavioral Economics Studies
- Neurogenesis and neuroplasticity mechanisms
- Cell Image Analysis Techniques
- Molecular Communication and Nanonetworks
- Health, Environment, Cognitive Aging
- Scientific Computing and Data Management
- Stress Responses and Cortisol
Washington University in St. Louis
2019-2025
Cold Spring Harbor Laboratory
2014-2023
Institute of Cognitive Neuroscience and Psychology
2023
HUN-REN Research Centre for Natural Sciences
2023
The Nature Conservancy
2018
Brandeis University
1999-2003
Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, therefore said display mixed selectivity. This complexity single neuron responses can obscure what information these areas represent how it is represented. Here we demonstrate advantages new dimensionality reduction technique, demixed principal component analysis (dPCA), that decomposes population activity into few components. In addition systematically capturing...
How to model hallucinations in mice There has not been enough progress our understanding of the basic mechanisms underlying psychosis. Studying psychotic disorders animal models is difficult because diagnosis relies on self-reported symptoms that can only be assessed humans. Schmack et al. developed a paradigm probe and rigorously measure experimentally controlled rodents (see Perspective by Matamales). Using dopamine-sensor measurements circuit pharmacological manipulations, they...
Deciding between stimuli requires combining their learned value with one's sensory confidence. We trained mice in a visual task that probes this combination. Mouse choices reflected not only present confidence and past rewards but also Their behavior conformed to model combines signal detection reinforcement learning. In the model, predicted of chosen option is product value. found precise correlates variable pre-outcome activity midbrain dopamine neurons medial prefrontal cortical neurons....
Cachexia, a severe wasting syndrome associated with inflammatory conditions, often leads to multiorgan failure and death. Patients cachexia experience extreme fatigue, apathy, clinical depression, yet the biological mechanisms underlying these behavioral symptoms their relationship disease remain unclear. In mouse cancer model, specifically induced increased effort-sensitivity, apathy-like through cytokine-sensing brainstem-to-basal ganglia circuit. This neural circuit detects elevated...
Olfactory perception relies on an active sampling process, sniffing, to rapidly deliver odorants from the environment olfactory receptors. The respiration cycle strongly patterns flow of information into systems, but behavioral significance particular sniffing is not well understood. Here, we monitored frequency and timing nasal in rats performing odor-mixture-discrimination task that allowed us test subjects near psychophysical limits quantify precise their behavior. We found frequencies...
Brief bursts of high-frequency action potentials represent a common firing mode pyramidal neurons, and there are indications that they special neural code. It is therefore interest to determine whether particular spatial temporal features neuronal inputs trigger bursts. Recent work on cells indicates can be initiated by specific arrangement in which coincident proximal distal dendritic excitation (Larkum et al., 1999). Here we have used computational model an important class bursting neurons...