Articles

• Large-scale algorithmic search identifies stiff and sloppy dimensions in synaptic architectures consistent with murine neocortical wiring (Jabri & MacLean, 2022)
• Sequential addition of neuronal stem cell temporal cohorts generates a feed-forward circuit in the Drosophila larval nerve cord (Wang et al, 2022)
• Validating markerless pose estimation with 3D X-ray radiography (Moore et al, 2022)
• A sparse set of spikes corresponding to reliable correlations is highly informative of visual stimulus on single trials (Levy et al, 2022)
• Dynamic structure of motor cortical neuron co-activity carries behaviorally relevant information (Sundiang et al, 2022)
• M1 dynamics share similar inputs for initiating and correcting movement (Malonis et al, 2021)
• Chronic wireless neural population recordings with common marmosets (Walker et al, 2021)
• Cyclic transitions between higher order motifs underlie sustained asynchronous spiking in sparse recurrent networks (Bojanek et al, 2020)
• Network analysis of murine cortical dynamics implicates untuned neurons in visual stimulus coding (Levy et al, 2020)
• A platform for semiautomated voluntary training of common marmosets for behavioral neuroscience (Walker et al, 2020)
• Recurrent interactions can explain the variance in single trial responses (Kotekal & MacLean, 2020)
• Cyclic transitions between higher order motifs underlie sustained activity in asynchronous sparse recurrent networks (Bojanek et al, 2019)
• Functional Properties of Circuits, Cellular Populations, and Areas (Harris et al, 2019)
• Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons (Dechery & MacLean, 2018)
• Spontaneous Activity in Sensory Systems (Imaizumi et al, 2018)
• Ensemble stacking mitigates biases in inference of synaptic connectivity (Chambers et al, 2018)
• Learning to make external sensory stimulus predictions using internal correlations in populations of neurons (Sederberg et al, 2018)
• Emergent cortical circuit dynamics contain dense, interwoven ensembles of spike sequences (Dechery & MacLean, 2017)
• The marmoset as a model system for studying voluntary motor control (Walker et al, 2017)
• Higher-order synaptic interactions coordinate dynamics in recurrent networks (Chambers & MacLean, 2016)
• Spontaneous activations follow a common developmental course across primary sensory areas in mouse neocortex (Frye & MacLean, 2016)
• Multineuronal activity patterns identify selective synaptic connections under realistic experimental constraints (Chambers & MacLean, 2015)
• Decoding thalamic afferent input using microcircuit spiking activity (Sederberg et al, 2015)
• Local changes in neocortical circuit dynamics coincide with the spread of seizures to thalamus in a model of epilepsy (Neubauer et al, 2014)
• Acetylcholine functionally reorganizes neocortical microcircuits (Runfeldt et al, 2014)
• Analysis of graph invariants in functional neocortical circuitry reveals generalized features common to three areas of sensory cortex (Gururangan et al, 2014)
• Mouse visual neocortex supports multiple stereotyped patterns of microcircuit activity (Sadovsky & MacLean, 2014)
• Circuit reactivation dynamically regulates synaptic plasticity in neocortex (Kruskal et al, 2013)
• Scaling of topologically similar functional modules defines mouse primary auditory and somatosensory microcircuitry (Sadovsky & MacLean, 2013)
• Non-Hebbian spike-timing-dependent plasticity in cerebellar circuits (Piochon et al, 2013)
• Default activity patterns at the neocortical microcircuit level (Luczak & MacLean, 2012)
• Heuristically optimal path scanning for high-speed multiphoton circuit imaging (Sadovsky et al, 2011)
• Imaging action potentials with calcium indicators (Yuste et al, 2011)
• Calcium imaging in neuroscience (Neubauer & MacLean, 2010)