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Member Publications

 

2019

G. La Camera, A. Fontanini and L. Mazzucato, Cortical computations via metastable activity,   Curr Opin Neurobiol  58:37–45, 2019 

Mazzucato, L., La Camera, G., & Fontanini, A. (2019). Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli.  Nature neuroscience ,   22 (5), 787.

Han Yan, Bo Li and Jin Wang* Non-equilibrium landscape and flux reveal how central amygdala circuit gates passive and active defensive responses J. Royal Soc. Interface. 16(153):20180756, (2019).

 

 

2018
Predicting how and when hidden neurons skew measured synaptic interactions,” Braden A. W. Brinkman, Fred Rieke, Eric Shea-Brown, and Michael Buice, PLOS Computational Biology 14(10): e1006490 (2018). (open access).

G. La Camera, S. Bouret and B.J. Richmond, Contributions of laternal and orbitofrontal regions to abstract rule acquisition and reversal in monkeys, Front. Neurosci. 12:165, 2018

L. Wang, M.L. Kloc, E. Maher, A. Erisir and A. Maffei (2018) Presynaptic GABAA receptors at thalamocortical synapses in rat V1. Cereb. Cortex, 1:16. doi: 10.1093/cercor/bhx364.

M. Chavali, M. Klingener, A. Kokkosis, Y. Garkun, A. Maffei and A. Aguirre (2018) Non-Canonical Wnt Signaling Regulates Neural Stem Cell Quiescence During Homeostasis and After Demyelination. Nature Comm. 9(1):36.

Esfahany, K., Siergiej, I., Zhao, Y. and Park, I.M. Organization of neural population code in mouse visual system. eNeuro 0414-17, 2018

Kirschen, G.W., Ge, S. and Park, I.M. Probability of viral labeling of neural stem cells in vivo. Neuroscience Letters, 2018

 

2017

H, Yan,  J. Wang*. Quantification of motor network dynamics in Parkinson's disease by means of landscape and flux theory. PLoS ONE 12 (3): e0174364. (2017)

T.C. Griffen, M.S. Haley, A. Fontanini and A. Maffei (2017) Rapid plasticity of visually evoked responses in rat monocular visual cortex. PLoS One. 12(9):e0184618.

C. Samuelsen and A. Fontanini (2017) Processing of intraoral olfactory and gustatory signals in the gustatory cortex of awake rats. J Neurosci. 37(2):244-257

L. Mazzucato, G. La Camera* and A. Fontanini*, Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli, bioRxiv 199380; doi: https://doi.org/10.1101/199380, 2017

A. Maffei (2017) LTP and LTD. Oxford Encyclopedia of Neuroscience

A. Maffei, C. Charrier, M. Caiati, A. Barberis, V. Mahadevan, M.A. Woodin and S. Tyagarajan (2017) Emerging mechanisms underlying dynamics of GABAergic synapses. J. Neurosci. 37(45):10792-10799

M.S. Haley and A. Maffei (2017) Versatility and flexibility of cortical circuits. The Neuroscientist, 24(5):456-470. doi: 10.1177/1073858417733720

R. Tatti, M.S. Haley, O.K. Swanson, T. Tselha and A. Maffei (2017) Neurophysiology and regulation of the balance between excitation and inhibition in neocortical circuits. Biological Psychiatry, 81: 821-31.

R. Tatti, O. Swanson, M. S. Lee and A. Maffei (2017) Layer-specific developmental changes in excitation and inhibition in rat primary visual cortex. eNeuro, 4(6). pii: ENEURO.0402-17.2017

T. Griffen, M. S. Haley, A. Fontanini and A. Maffei (2017) Rapid plasticity of visually evoked responses in rat monocular visual cortex. PLoS One, 12(9): e0184618

Yates, J.L., Park, I.M., Katz, L.N., Pillow, J.W. and Huk, A.C. Functional dissection of signal and noise in MT and LIP during decision-making. Nature Neuroscience 20, pp. 1285-–1292, 2017

Zhao, Y. and Park, I.M. Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains. Neural Computation 29(5) 2017

 


2016

H. Yan, K. Zhang,  J. Wang*. Physical mechanism of mind changes and tradeoffs among speed, accuracy, and energy cost in brain decision making- Landscape, flux, and path perspectives.  Chin. Phys. B. 25(7), 078702. (2016)

“How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?,” Braden A. W. Brinkman*, Alison I. Weber*, Fred Rieke**, and Eric Shea-Brown**, PLOS Computational Biology, 12(10): e1005150 (2016). (open access) *,** = equal contributions.

R. Vincis and A. Fontanini (2016) A gustocentric perspective to understanding primary sensory corticles. Curr Opin Neurobiol 40:118-124

R. Vincis and A. Fontanini (2016) Associative learning changes cross-modal representations in the gustatory cortex. eLife Aug 30;5. pii e16420

L. Mazzucato, A. Fontanini and G. LaCamera (2016) Strimuli reduce the dimensionality of cortical activity. Front Syst Neurosci 2016 Feb 17; 10:11

M. Haley, A. Fontanini* and A. Maffei* (2016) Laminar-and cell type-specific amygdalar inputs in rat primary cortex. J Neurosci 36(9):2623-37 (*Corresponding and equally contributing authors)

L. Le Donne, L. Mazzucato, R. Urbanczik, W. Senn* and G. La Camera*, Spike-based reinforcement learning for temporal stimulus segmentation and decision making, Computing with Spikes Workshop, NIPS 2016, Barcelona, Spain, 2016

L. Mazzucato, A. Fontanini and G. La Camera, Stimuli reduce the dimensionality of cortical activity, Front Sys Neurosci 10:11, 2016. Pubmed entry

A. Maffei (2016) Fifty Shades of Inhibition. Curr. Op. Neurobiol. 43: 43-47.

M. Haley, A. Fontanini and A. Maffei (2016) Laminar and target-specific properties of amygdalar inputs to rat primary gustatory cortex. J. Neurosci. 36: 2623-37

Zhao, Y. and Park, I.M. Interpretable Nonlinear Dynamic Modeling of Neural Trajectories. Advances in Neural Information Processing Systems (NIPS) 2016

 


2015
H. Lui and A. Fontanini (2015) State Department of Chemosensory Coding in the Gustatory Thalamus (VPMpcz) of Alert Rats. J Neurosci 35(47):15479-15491

L.Mazzucato, A. Fontanini* and G. LaCamera* (2015) Dynamics of multistable states during on-going and evoked cortical activity. J Neurosci 35(21):8214-8231 (*Corresponding and equally contributing authors)

Kusumoto-Yoshida, H. Liu, B.T. Chen, A. Fontanini* and A. Bonci* (2015) A central role for the insular cortex in mediating conditioned responses to anticipatory cues. PNAS 112(4): 1190-1195 (*Corresponding authors)

L. Mazzucato, A. Fontanini* and G. La Camera*, Dynamics of multi-stable states during ongoing and evoked cortical activity, J Neurosci 35(21): 8214-8231, 2015. Pubmed entry


F. Birey, M. Kloc, D. J. Christoffel, S. Russo, J. K. Robinson, A. Maffei and A. Aguirre (2015) NG2+ glial cells participate in normal brain physiology and the development of depressive-like behaviors. Neuron, 88: 941-956.

K.Krishnan, B.S.Wang, J.Lu, L.Wang, A. Maffei, J.Cang and J.Z.Huang (2015) MeCP2 regulates the maturation of GABA signaling and critical period plasticity that shape experience-dependent functional connectivity in primary visual cortex. PNAS, 112: 4782-91.

 

2014
M.P.H.Gardner and A. Fontanini (2014) Encoding and tracking of outcome-specific expectancy in the gustatory cortex of alert rats. J. Neurosci 34(39):13000-13017

T.Griffen and A. Maffei (2014) Experience-dependent refinement: GABAergic synapses and their plasticity. Special Issue on GABAergic plasticity. Front. Cell. Neurosci. 8: 91 doi:10.3389/fncel.2014.00091

M.L. Kloc and A. Maffei (2014) Cell type-specific properties of thalamocortical inputs in rodent primary visual cortex. J. Neurosci.34: 13455-65.

S.D. VanHooser, G.M.Escobar, A. Maffei and P. Miller. (2014) Emerging feedforward inhibition allows the robust formation of spatio-temporal response selectivity, including direction selectivity, in feedforward models of the developing cortex. J. Neurophys. 111: doi:10.1152/jn.00891.2013.

Y. Garkun and A. Maffei (2014) The time of eye opening regulates cannabinoid-dependent plasticity in rodent visual cortex. Front. Cell. Neurosci. 8:46. doi:10.3389/fncel.2014.00046

L. Wang and A. Maffei (2014) Inhibition dictates the sign of plasticity at excitatory synapses. J. Neurosci. 34: 1083-93
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I. M. Park, M. L. R. Meister, A. C. Huk, J. W. Pillow. Encoding and decoding in parietal cortex during sensorimotor decision-making. Nature Neuroscience 17, 1395–1403, 2014

I. M. Park, Y. V. Bobkov, B. W. Ache, J. C. Príncipe. Intermittency coding in the primary olfactory system: A neural substrate for olfactory scene analysis. The Journal of Neuroscience 34(3): 941-952, January 15 2014


2013

H. Yan, L. Zhao, L. Hu, X. Wang, E.K. Wang,   J. Wang*. Nonequilibrium landscape theory of neural networks. Proc. Natl. Acad. Sci. USA.110 , E4185–E4194 (2013).

 

G. La Camera, R. Urbanczik and W. Senn, Stimulus detection and decision making via spike-based reinforcement learning, Proceedings of the 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making, pp. 183-187, Princeton NJ, 2013

A. Jezzini*, L. Mazzucato*, G. La Camera and A. Fontanini, Processing of hedonic and chemosensory features of taste in medial prefrontal and insular networks, J Neurosci 33(48): 18966-18978, 2013

2012

“Universal Critical Dynamics in High Resolution Neuronal Avalanche Data,” Nir Friedman, Shinya Ito, Braden A. W. Brinkman, Masanori Shimono, R. E. Lee DeVille, Karin A. Dahmen, John M. Beggs, and Thomas C. Butler, Phys. Rev. Lett. 108, 208102 (2012).