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Elementa Affectus

We seek the minimal causal components that assemble into emotions and action

Research

Integrative Research

We use an integrative, multiscale approach to uncover the building blocks of brain states that underlie core affect and behavior. We combine deep-brain two-photon imaging and holographic optogenetic control with genetic and molecular profiling and computational modeling, linking cell identity, circuit dynamics, and behavior into causal explanations.

2-photon imaging of deep brain cells

READ

(record neural activity)

We use several methods to record neural activity, including 2P Calcium imaging, miniscope imaging, and electrophysiology 

Behavioral neuroscience

MEASURE

(behavior)

We measure different ethologically relevant behaviors that underlie affective states including aggression, mating and anxiety

2-photon holography

WRITE

(perturb/manipulate)

We use advanced tools to activate and control neural activity at single cell resolution

molecular and genetic approaches

MAP

(molecular/genetic identity)

We map the genes and molecules that underlie and interact with neurons to guide affective states 

Neural computation

MODEL

(mechanism to prediction)

We utilize computational modelling to understand and predict how neural activity generates affective states

“Without a question, there can be no scientific knowledge.”

— Gaston Bachelard, The Formation of the Scientific Mind (1938)

Team

Meet The Team

Amit Vinograd

Amit Vinograd, PhD

Principle investigator

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Itsik Sofer, PhD

Lab Manager

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Join Us

We are recruiting!

Publication

Selected Publications

Causal evidence of a line attractor encoding an affective state

Amit Vinograd, Aditya Nair, Joseph H. Kim, Scott W. Linderman & David J. Anderson

2024

Nature
Contact

Contact us

30 Haim Levanon st., Ramat Aviv, Tel-Aviv 69978
Gray School of Medicine Room 519

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Sagol School of Neuroscience
Tel Aviv University
Gray School of Medicine
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