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Member Publications



Li, T., Kirwan, J., Arnone, M. I., Nilsson, D. E., & La Camera, G. (2023), A model of decentralized vision in the sea urchin Diadema africanum, iScience 26, 106295.

Lang, L., La Camera, G.*, & Fontanini, A.* (2023), Temporal progression along discrete coding states during decision-making in the mouse gustatory cortex. PLoS Comput Biol 19(2): e1010865.

Dowling, M., Zhao, Y. and Park, I. M. (2023), Real-time variational method for learning neural trajectory and its dynamics, in 'International Conference on Learning Representations (ICLR)'.

Levi, A. J., Zhao, Y., Park, I. M. and Huk, A. C. (2023), Sensory and choice responses in MT distinct from motion encodingTheJournal of Neuroscience.

Schiff, H. C., Kogan, J. F., Isaac, M., Czarnecki, L. A., Fontanini, A., & Maffei, A. (2023). Experience-dependent plasticity of gustatory insular cortex circuits and taste preferencesScience Advances9(2), eade6561.



Neophytou, D., Arribas, D. M., Arora, T., Levy, R. B., Park, I. M., & Oviedo, H. V. (2022). Differences in temporal processing speeds between the right and left auditory cortex reflect the strength of recurrent synaptic connectivity. PLoS Biology,20(10), e3001803.

Zhao, Y., Nassar, J., Jordan, I., Bugallo, M., & Park, I. M. (2022). Streaming Variational Monte Carlo. IEEE Transactions on Pattern Analysis and Machine Intelligence,PP. arXiv:10.1109/TPAMI.2022.3153225

La Camera, G (2022). The mean field approach for populations of spiking neurons. In: Giugliano, M., Negrello, M., Linaro, D. (eds) Computational Modelling of the Brain. Advances in Experimental Medicine and Biology, vol 1359 pp 125-157. Springer, Cham. arXiv:2109.01279

Liang, T. & Brinkman, B. A. W. (2022). Evolution of innate behavioral strategies through competitive population dynamics. PLoS Comput Biol 18(3): e1009934.

Brinkman, B. A. W., Yan, H., Maffei, A., Park, I. M., Fontanini, A., Wang, J.*, & La Camera, G.* (2022). Metastable dynamics of neural circuits and networks. Applied Physics Reviews 9, 011313. arXiv:2110.03025



Pei, F.*, Ye, J.*, Zoltowski, D., Wu, A., Chowdhury, R. H., Sohn, H., O'Doherty, J. E., Shenoy, K. V., Kaufman, M. T., Churchland, M., Jazayeri, M., Miller, L. E., Pillow, J., Park, I. M., Dyer, E. L., & Pandarinath, C. (2021). Neural Latents Benchmark'21: Evaluating latent variable models of neural population activity. 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks.

Jordan, I. D., Sokół, P. A., & Park, I. M. (2021). Gated recurrent units viewed through the lens of continuous time dynamical systems. Frontiers in computational neuroscience, 67.

Benozzo, D., La Camera, G., & Genovesio, A. (2021). Slower prefrontal metastable dynamics during deliberation predicts error trials in a distance discrimination taskCell Reports35(1), 108934.

Talyansky, S. and Brinkman, B. A. W. (2021). Dysregulation of neural excitability replicates physiological and functional changes in aging visual cortex. PLOS Computational Biology17(1): e1008620



Yan, H., & Wang, J. (2020). Non-equilibrium landscape and flux reveal the stability-flexibility-energy tradeoff in working memoryPLoS Computational Biology16(10), e1008209.

M.S. Haley, S. Bruno, A. Fontanini and A. Maffei (2020). LTD at amygdalocortical synapses as a novel mechanism for hedonic learning. eLife, 9:e55175. doi: 10.7554/eLife.55175

Zhao, Y. and Park, I.M. (2020). Variational online learning of neural dynamicsFrontiers in Computational Neuroscience, 14.

M. Capogna, A. Maffei and P.E. Castillo (2020) Mechanisms and function of inhibitory plasticity. Special Topic European Journal of Neuroscience. Eur. J. Neurosci. doi: 10.1111/ejn.14907. Online ahead of print

Vincis, R., Chen, K., Czarnecki, L., Chen, J., & Fontanini, A. (2020). Dynamic representation of taste-related decisions in the gustatory insular cortex of miceCurrent Biology 30(10): 1834

Jordan, I. D., & Park, I. M. (2020). Birhythmic Analog Circuit Maze: A Nonlinear Neurostimulation Testbed. Entropy , 22(5), 537.

Zhao, Y., Yates, J. L., Levi, A. J., Huk, A. C., & Park, I. M. (2020). Stimulus-choice (mis)alignment in primate area MTPLOS Computational Biology16(5), e1007614.

Michaelis, B. T., Leathers, K. W., Bobkov, Y. V., Ache, B. W., Principe, J. C., Baharloo, R., Park, I. M., & Reidenbach, M. A. (2020). Odor tracking in aquatic organisms: the importance of temporal and spatial intermittency of the turbulent plume.Scientific Reports, 10(1), 1–11.

Stone, M. E., Fontanini, A., & Maffei, A. (2020). Synaptic integration of thalamic and limbic inputs in rodent gustatory cortex.eNeuro, 7(1).

Sokol, P., & Park, I. M. (2020). Information geometry of orthogonal initializations and training. International Conference on Learning Representations (ICLR). 



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

David Hocker and Il Memming Park (2019). Myopic control of neural dynamics. PLOS Computational Biology, 15(3), p.e1006854.

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* (2019). Non-equilibrium landscape and flux reveal how central amygdala circuit gates passive and active defensive responsesJ. Royal Soc. Interface 16(153):20180756.

Maffei, A. (2019). 9. Excitatory and Inhibitory Synaptic Transmission and Cortical Circuits FunctionBiological Psychiatry, 85(10), S4.

Swanson, O. K., & Maffei, A. (2019). From hiring to firing: activation of inhibitory neurons and their recruitment in behavior. Frontiers in molecular neuroscience, 12, 168.



Braden A. W. Brinkman, Fred Rieke, Eric Shea-Brown, and Michael Buice, Predicting how and when hidden neurons skew measured synaptic interactions, 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



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

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



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


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.


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

Il Memming 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

Il Memming 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



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

Evan Archer, Il Memming Park, and Jonathan Pillow. Bayesian and quasi-Bayesian estimators for mutual information from discrete data. Entropy, 15(5):1738–1755, May 2013.

Il Memming Park, Sohan Seth, Antonio R. C. Paiva, Lin Li, and Jose C. Principe. Kernel methods on spike train space for neuroscience: a tutorial. IEEE Signal Processing Magazine, 30(4):149–160, July 2013, 1302.5964.