Selected Publications

Levy M, Sporns O and MacLean JN. (2019) Network analysis of murine cortical dynamics implicates untuned neurons in visual stimulus coding. CELL-REPORTS-D-19-04094.

Bojanek K, Zhu Y and MacLean JN. (2019) Cyclic transitions between higher order motifs underlie sustained activity in asynchronous sparse recurrent networks. bioRxiv, 777219

Kotekal S and MacLean JN. (2019) Recurrent interactions can explain the variance in single trial responses. bioRxiv, 635359

Walker JD, Pirschel F, Gidmark N, MacLean JN and Hatsopoulos NG. (2019) A platform for semi-automated voluntary training of common marmosets for behavioral neuroscience: Voluntary training of common marmosets. bioRxiv, 635334

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

Sederberg AJ, MacLean JN, Palmer SE. (2018) Learning to make external sensory stimulus predictions using internal correlations in populations of neurons. PNAS, 115(5): 1105-1110. doi: 10.1073/pnas.1710779115

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

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 SS, Sadovsky AJ, and MacLean JN. (2014) Analysis of Graph Invariants in Functional Neocrotical Circuitry Reveals Generalized Features Common to Three Areas of Sensory Cortex. PLoS Comp Bio, doi: 10.1371/journal.pcbi.1003710

Runfeldt MJ, Sadovsky AJ, and MacLean JN. (2014) Acetylcholine Functionally Reorganizes Neocortical Microcircuits.  Journal of Neurophysiology, doi: 10.1152/jn.00071.2014

Sadovsky AJ and MacLean JN. (2014) Mouse Visual Neocortex Supports Multiple Stereotyped Patterns of Microcircuit Activity. J Neurosci. 34(23):7769-7777.

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

Sadovsky AJ and MacLean JN. (2013)  Scaling of topologically similar functional modules defines mouse primary auditory and somatosensory microcircuitry. J Neurosci. 33(35):14048-60.

Luczak A, MacLean JN. (2012) Default activity patterns at the neocortical microcircuit level. Front Integr Neurosci. 6:30.

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.

Hoffman KL, Battaglia FP, Harris K, MacLean JN, Marshall L, and Mehta MR. (2007) The upshot of up states in the neocortex: from slow oscillations to memory formation. J Neurosci. 27(44):11838-41.

Complete List of Published Work in MyBibliography