Jason MacLean

Associate Professor

Department of Neurobiology

The University of Chicago
947 E. 58th St., MC0926
Chicago, IL 60637 

Email: jmaclean@uchicago.edu
Phone: (773) 834-7650
Office: SBRI J111 (MC 0926)



Research Summary

Network science approach to local cortical circuitry


Research Description

The primary focus of our group is to apply network science to local cortical circuit dynamics in order to: 1) establish the higher-order cellular and synaptic mechanisms that propagate spikes, 2) to build improved encoding and decoding models of single-trial circuit activity in behaving mammals, and 3) to compare and contrast sensory and motor areas of neocortex.


Select Publications


Dechery JB and MacLean JN. (2018) Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons. PLoS Computational Biology 14(5), doi: 10.1371/journal.pcbi.1006153

Chambers B, Levy M, Dechery JB, MacLean JN. (2017) Ensemble stacking mitigates biases in inference of synaptic connectivity. Network Neuroscience, doi: 10.1162/NETN_a_00032

Sederberg AJ, MacLean JN, Palmer SE. (2017) Learning to make external sensory stimulus predictions using internal correlations in populations of neurons. in press PNAS

Walker J, MacLean JN, Hatsopoulos NG. (2017) The marmoset as a model system for studying voluntary motor control. Developmental Neurobiology, 77:273-285, doi: 10.1002/dneu.22461

Dechery JB and MacLean JN. (2017) Emergent cortical circuit dynamics contain dense, interwoven ensembles of spike sequences. Journal of Neurophysiology, doi: 10.1152/jn.00394.2017

Chambers B and MacLean JN. (2016) Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks. PLoS Computational Biology, doi: 10.1371/journal.pcbi.1005078

Frye CG and MacLean JN. (2016) Spontaneous activations follow a common developmental course across primary sensory areas in mouse neocortex. Journal of Neurophysiology, doi: 10.1152/jn.00172.2016

Chambers B and MacLean JN. (2015) Multineuronal activity patterns identify selective synaptic connections under realistic experimental constraints. Journal of Neurophysiology, doi: 10.1152/jn.00429.2015

Sederberg A, Palmer SE, MacLean JN (2015) Decoding thalamic afferent input using microcircuit spiking activity. Journal of Neurophysiology doi: 10.1152/jn.00885.2014

Gururangan, S. S., Sadovsky, A. J., & MacLean, J. N. (2014). Analysis of Graph Invariants in Functional Neocortical Circuitry Reveals Generalized Features Common to Three Areas of Sensory Cortex. PLoS computational biology, 10(7), e1003710.

Runfeldt, M. J., Sadovsky, A. J., & MacLean, J. N. (2014). Acetylcholine Functionally Reorganizes Neocortical Microcircuits. Journal of neurophysiology, jn-00071.

Sadovsky, A. J., and MacLean, J. N. (2014). Mouse Visual Neocortex Supports Multiple Stereotyped Patterns of Microcircuit Activity. The Journal of Neuroscience, 34(23), 7769-7777.

Sadovsky A and Jason N. MacLean J (2013).Scaling of Topologically Similar Functional Modules Defines Mouse Primary Auditory and Somatosensory Microcircuitry. J. Neuroscience, August 28, 2013 • 33(35):14048 –14060

Kruskal PB, Li L, and MacLean JN. (2013) Circuit reactivation dynamically regulates synaptic plasticity in neocortex. Nat Commun. 4:2574.

Sadovsky AJ, Kruskal PB, Kimmel JM, Ostmeyer J, Neubauer FB, and MacLean JN. (2011) Heuristically optimal path scanning for high-speed multiphoton circuit imaging. J Neurophysiol. 106:1591-1598.