Adam Kohn, Ph.D.
- Professor, Dominick P. Purpura Department of Neuroscience
- Professor, Department of Ophthalmology & Visual Sciences
- Professor, Department of Systems & Computational Biology
- Interim Chair, Dominick P. Purpura Department of Neuroscience
- Isidor Tachna Professor in Ophthalmology
Area of research
- My lab studies visual processing, with a focus on issues of rapid cortical plasticity, population coding, and inter-areal communication. We use neurophysiological, computational and behavioral methods in our work.
Phone
Location
- Albert Einstein College of Medicine Rose F. Kennedy Center 1410 Pelham Parkway South 822 Bronx, NY 10461
Research Profiles
Professional Interests
My lab investigates how visual information is encoded and processed by populations of cortical neurons, and how this processing is affected by recent stimulus history, or adaptation. Our work thus addresses issues of neural coding, cortical plasticity, corticocortical signaling, and the neuronal basis of visual perception. Our approach involves multielectrode recordings in early and midlevel visual areas of anesthetized and awake, behaving macaque monkeys as well as in the visual aeas of the mouse. We use computational methods to interpret and understand physiological data, and psychophysical methods to relate our findings to human perception.
Selected Publications
Semedo JD, Jasper AI, Zandvakili A, Krishna A, Aschner A, Machens CK*, Kohn A* Yu BM (2022) Feedforward and feedback interactions between visual cortical areas use different population activity patterns. Nature Communications 13(1): 1099. *Equal contribution
Kohn A, Jasper AI, Semedo JD, Gokcen E, Machens CK, Yu BM (2020) Principles of corticocortical communication: proposed schemes and design considerations. Trends in Neuroscience 43: 725-737.
Henry CA, Kohn A (2020) Spatial contextual effects in primary visual cortex limit feature representation under crowding. Nature Communications 11(1): 1687.
Semedo JD, Zandvakili A, Machens CK*, Yu BM*, Kohn A* (2019) Cortical areas interact through a communication subspace. Neuron 102: 249-259. *Equal contribution.
Jasper AI*, Tanabe S*, Kohn A (2019) Predicting perceptual decisions using visual cortical population responses and choice history. Journal of Neuroscience 39: 6714-6727. *Equal contribution.
Aschner A, Solomon SG, Landy MS, Heeger DJ, Kohn A (2018) Temporal contingencies determine whether adaptation strengthens or weakens normalization. Journal of Neuroscience 38: 10129-10142.
Kohn A, Coen-Cagli R, Kanitscheider I, Pouget A (2016) Correlations and neuronal population information. Annual Review of Neuroscience 39: 237-256.
Coen-Cagli R, Kohn A*, Schwartz O* (2015) Flexible gating of contextual influences in natural vision. Nature Neuroscience 18: 1648-1655. *Equal contribution
Zandvakili A, Kohn A (2015) Coordinated neuronal activity enhances corticocortical communication. Neuron 87: 827-839.
View full list of published work
http://www.ncbi.nlm.nih.gov/sites/myncbi/adam.kohn.1/bibliography/40829344/public/