Neural basis of causal inference: representations, circuits, and dynamics
Note: Due our recent U19 start date, we have not yet collected any data. The below is the project's summary.
DOPE Bernardo Sabatini Towards a unified framework for dopamine signaling in the striatum
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DOPE Bernardo Sabatini Towards a unified framework for dopamine signaling in the striatum
Title: Dopamine recordings during a self-timed behavior
Abstract:
Osmonauts - Dmitry Rinberg. Cracking the Olfactory Code Abstract1
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Osmonauts - Dmitry Rinberg. Cracking the Olfactory Code
Abstract 1:
Title: High-speed volumetric imaging of piriform cortex during odor stimulation
Osmonauts - Dmitry Rinberg. Cracking the Olfactory Code Abstract2
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Osmonauts - Dmitry Rinberg. Cracking the Olfactory Code
Abstract 2:
Title: Automated segmentation of ROIs in odor-evoked glomerular imaging
MouseV1. Kenneth Miller. Understanding V1 circuit dynamics and computations
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MouseV1. Kenneth Miller. Understanding V1 circuit dynamics and computations
Title: Fine spatial organization of orientation tuning in mouse visual cortex
Abstract:
Innate and adaptive immune response
Multiscale Modeling and Viral Pandemics
Physiological Models: Innate and adaptive immune response
Content posted to this wiki are contributions made by the IMAG/MSM research community. Full disclaimer statement found here.
Group Focus:
We will consider mathematical models of immune response to viral infections.
RAJAN, KANAKA Multi-region Network of Networks Recurrent Neural Network Models of Adaptive and Maladaptive Learning EB028166
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RAJAN, KANAKA Multi-region Network of Networks Recurrent Neural Network Models of Adaptive and Maladaptive Learning EB028166
We in the Rajanlab at Mount Sinai design neural network models constrained by experimental data, and reverse engineer them to figure out how brain circuits function in health and disease.
Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)
Digital medicine is an interdisciplinary field, drawing together stakeholders with expertize in engineering, manufacturing, clinical science, data science, biostatistics, regulatory science, ethics, patient advocacy, and healthcare policy, to name a few. Although this diversity is undoubtedly valuable, it can lead to confusion regarding terminology and best practices. There are many instances, as we detail in this paper, where a single term is used by different groups to mean different things, as well as cases where multiple terms are used to describe essentially the same concept.
Reproducibilty and Credibility Resource
Reproducibilty and Credibility Resource
Published Papers of Interest: