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Neural Sensory Processing Group

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Peer-reviewed articles Preprints

Peer-reviewed articles

Sniff-synchronized, gradient-guided olfactory search by freely moving mice
TM Findley†, DG Wyrick†, JL Cramer, MA Brown, B Holcomb, R Attey, D Yeh, E Monasevitch, N Nouboussi, I Cullen, JO Songco, JF King, Y Ahmadian* and MC Smear*
eLife, 2021
What is the dynamical regime of cerebral cortex?
Y Ahmadian and KD Miller
Neuron, 2021
Somatostatin-expressing interneurons in the auditory cortex mediate sustained suppression by spectral surround
AA Lakunina, MB Nardoci, Y Ahmadian and S Jaramillo
The Journal of Neuroscience, 2020
Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
K Iigaya, Y Ahmadian, LP Sugrue, GS Corrado, Y Loewenstein, WT Newsome and S Fusi
Nature Communications, 2019
Heading direction with respect to a reference point modulates place-cell activity
PE Jercog, Y Ahmadian, C Woodruff, R Deb-Sen, LF Abbott and ER Kandel
Nature Communications, 2019
Inferring neural circuit structure from datasets of heterogeneous tuning curves
T Arakaki, G Barello and Y Ahmadian
PLOS Computational Biology, 2019
Sniff invariant odor coding
R Shusterman, YB Sirotin, MC Smear, Y Ahmadian and D Rinberg
eNeuro, 2018
The dynamical regime of sensory cortex: stable dynamics around a single stimulus-tuned attractor account for patterns of noise variability
G Hennequin, Y Ahmadian*, D B Rubin*, M LengyelŦ and KD MillerŦ
Neuron, 2018
Properties of networks with partially structured and partially random connectivity
Y Ahmadian, F Fumarola and KD Miller
Physical Review E, 2015
Analysis of the stabilized supralinear network
Y Ahmadian, DB Rubin and KD Miller
Neural computation, 2013
Modeling the impact of common noise inputs on the network activity of retinal ganglion cells
M Vidne, Y Ahmadian, J Shlens, JW Pillow, J Kulkarni, AM Litke, EJ Chichilnisky, E Simoncelli and L Paninski
Journal of Computational Neuroscience, 2012
Incorporating naturalistic correlation structure improves spectrogram reconstruction from neuronal activity in the songbird auditory midbrain
AD Ramirez, Y Ahmadian, J Schumacher, D Schneider, SMN Woolley and L Paninski
Journal of Neuroscience, 2011
Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains
JW Pillow, Y Ahmadian and L Paninski
Neural Computation, 2011
Designing optimal stimuli to control neuronal spike timing
Y Ahmadian, AM Packer, R Yuste and L Paninski
Journal of Neurophysiology, 2011
Efficient markov chain monte carlo methods for decoding neural spike trains
Y Ahmadian, JW Pillow and L Paninski
Neural Computation, 2011
Learning unbelievable probabilities
Z Pitkow, Y Ahmadian and K Miller
NIPS, 2011
A new look at state-space models for neural data
L Paninski, Y Ahmadian, DG Ferreira, S Koyama, K Rahnama Rad, M Vidne, J Vogelstein and W Wu
Journal of Computational Neuroscience, 2010
The relationship between optimal and biologically plausible decoding of stimulus velocity in the retina
EC Lalor, Y Ahmadian and L Paninski
Journal of the Optical Society of America A, 2009
Negative echo in the density evolution of ultracold fermionic gases
F Fumarola, Y Ahmadian, IL Aleiner and BL Altshuler
Physical Review Letters, 2007
Antilocalization in coulomb blockade
Y Ahmadian and IL Aleiner
Physical Review B, 2006
Acoustic phonon scattering in a low density, high mobility algan/gan field-effect transistor
EA Henriksen, S Syed, Y Ahmadian, MJ Manfra, KW Baldwin, AM Sergent, RJ Molnar and HL Stormer
Applied Physics Letters, 2005
Spin-related effects in transport properties of open quantum dots
Y Ahmadian, G Catelani and IL Aleiner
Physical Review B, 2005


Preprints

Efficient coding explains neural response homeostasis and stimulus-specific adaptation
E Young and Y Ahmadian
bioRxiv, 2023
The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillations
Caleb J. Holt, Kenneth D. Miller and Y Ahmadian
bioRxiv, 2023


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