PSM: Prompt Sensitivity Minimization via LLM-Guided Black-Box Optimization.

Nicolas Brunel

Huseein Jawad Nicolas Brunel PSM: Prompt Sensitivity Minimization via LLM-Guided Black-Box Optimization. 2025 November abs/2511.16209 CoRR https://doi.org/10.48550/arXiv.2511.16209 db/journals/corr/corr2511.html#abs-2511-16209 streams/journals/corr

Yu Feng 0004 Nicolas Brunel Attractor neural networks with double well synapses. 2024 February 20 PLoS Comput. Biol. 2 https://doi.org/10.1371/journal.pcbi.1011354 https://www.wikidata.org/entity/Q128261208 db/journals/ploscb/ploscb20.html#FengB24

Sebastian Goldt Florent Krzakala Lenka Zdeborová Nicolas Brunel Bayesian reconstruction of memories stored in neural networks from their connectivity. 2023 January 19 PLoS Comput. Biol. 1 https://doi.org/10.1371/journal.pcbi.1010813 db/journals/ploscb/ploscb19.html#GoldtKZB23

Aghil Abed Zadeh Brandon D. Turner Nicole Calakos Nicolas Brunel Non-monotonic effects of GABAergic synaptic inputs on neuronal firing. 2022 18 PLoS Comput. Biol. 6 https://doi.org/10.1371/journal.pcbi.1010226 https://www.wikidata.org/entity/Q113308459 db/journals/ploscb/ploscb18.html#ZadehTCB22

Alessandro Sanzeni Mark H. Histed Nicolas Brunel Response nonlinearities in networks of spiking neurons. 2020 16 PLoS Comput. Biol. 9 https://doi.org/10.1371/journal.pcbi.1008165 https://www.wikidata.org/entity/Q99561528 db/journals/ploscb/ploscb16.html#SanzeniHB20

Ulises Pereira Nicolas Brunel Unsupervised Learning of Persistent and Sequential Activity. 2019 13 Frontiers Comput. Neurosci. https://doi.org/10.3389/fncom.2019.00097 https://www.wikidata.org/entity/Q89493995 db/journals/ficn/ficn13.html#PereiraB20 97

Alexis M. Dubreuil Nicolas Brunel Storing structured sparse memories in a multi-modular cortical network model. 157-175 2016 40 J. Comput. Neurosci. 2 https://doi.org/10.1007/s10827-016-0590-z https://www.wikidata.org/entity/Q48690621 db/journals/jcns/jcns40.html#DubreuilB16

Elisa M. Tartaglia Nicolas Brunel Gianluigi Mongillo Modulation of Network Excitability by Persistent Activity: How Working Memory Affects the Response to Incoming Stimuli. 2015 11 PLoS Comput. Biol. 2 https://doi.org/10.1371/journal.pcbi.1004059 https://www.wikidata.org/entity/Q35103362 db/journals/ploscb/ploscb11.html#TartagliaBM15

Alireza Alemi Carlo Baldassi Nicolas Brunel Riccardo Zecchina A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. 2015 11 PLoS Comput. Biol. 8 https://doi.org/10.1371/journal.pcbi.1004439 https://www.wikidata.org/entity/Q35751220 db/journals/ploscb/ploscb11.html#AlemiBBZ15

Loreen Hertäg Daniel Durstewitz Nicolas Brunel Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise. 2014 8 Frontiers Comput. Neurosci. https://doi.org/10.3389/fncom.2014.00116 https://www.wikidata.org/entity/Q42055758 db/journals/ficn/ficn8.html#HertagDB14 116

Nicolas Brunel Xiao-Jing Wang Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. 593-594 2014 37 J. Comput. Neurosci. 3 https://doi.org/10.1007/s10827-014-0506-8 https://www.wikidata.org/entity/Q99980085 db/journals/jcns/jcns37.html#BrunelW14

Alexis M. Dubreuil Yali Amit Nicolas Brunel Memory Capacity of Networks with Stochastic Binary Synapses. 2014 10 PLoS Comput. Biol. 8 https://doi.org/10.1371/journal.pcbi.1003727 https://www.wikidata.org/entity/Q35220816 db/journals/ploscb/ploscb10.html#DubreuilAB14

David Higgins Michael Graupner Nicolas Brunel Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity. 2014 10 PLoS Comput. Biol. 10 https://doi.org/10.1371/journal.pcbi.1003834 https://www.wikidata.org/entity/Q35294160 db/journals/ploscb/ploscb10.html#HigginsGB14

Nicolas Brunel Vincent Hakim Fokker-Planck Equation. 2014 Encyclopedia of Computational Neuroscience https://doi.org/10.1007/978-1-4614-7320-6_60-2 reference/cn/2014 db/reference/cn/cn2014.html#BrunelH14 Nicolas Brunel Vincent Hakim Population Density Models. 2014 Encyclopedia of Computational Neuroscience https://doi.org/10.1007/978-1-4614-7320-6_74-1 reference/cn/2014 db/reference/cn/cn2014.html#BrunelH14a

Claudia Clopath Nicolas Brunel Optimal Properties of Analog Perceptrons with Excitatory Weights. 2013 9 PLoS Comput. Biol. 2 https://doi.org/10.1371/journal.pcbi.1002919 https://www.wikidata.org/entity/Q34597906 db/journals/ploscb/ploscb9.html#ClopathB13

Claudia Clopath Jean-Pierre Nadal Nicolas Brunel Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models. 2012 8 PLoS Comput. Biol. 4 https://doi.org/10.1371/journal.pcbi.1002448 https://www.wikidata.org/entity/Q34262963 db/journals/ploscb/ploscb8.html#ClopathNB12

Erwan Ledoux Nicolas Brunel Dynamics of Networks of Excitatory and Inhibitory Neurons in Response to Time-Dependent Inputs. 2011 5 Frontiers Comput. Neurosci. https://doi.org/10.3389/fncom.2011.00025 https://www.wikidata.org/entity/Q42120227 db/journals/ficn/ficn5.html#LedouxB11 25

Srdjan Ostojic Nicolas Brunel From Spiking Neuron Models to Linear-Nonlinear Models. 2011 7 PLoS Comput. Biol. 1 https://doi.org/10.1371/journal.pcbi.1001056 https://www.wikidata.org/entity/Q33809361 db/journals/ploscb/ploscb7.html#OstojicB11

Michael Graupner Nicolas Brunel Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models. 2010 4 Frontiers Comput. Neurosci. https://doi.org/10.3389/fncom.2010.00136 https://www.wikidata.org/entity/Q34191496 db/journals/ficn/ficn4.html#GraupnerB10 136

Alberto Mazzoni Kevin Whittingstall Nicolas Brunel Nikos K. Logothetis Stefano Panzeri Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. 956-972 2010 52 NeuroImage 3 https://doi.org/10.1016/j.neuroimage.2009.12.040 https://www.wikidata.org/entity/Q48372705 db/journals/neuroimage/neuroimage52.html#MazzoniWBLP10

Nicolas Brunel Jérôme Lapuyade-Lahorgue Wojciech Pieczynski Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. 338-349 2010 55 IEEE Trans. Autom. Control. 2 https://doi.org/10.1109/TAC.2009.2034929 db/journals/tac/tac55.html#BrunelLP10

Nicolas Brunel Florence d'Alché-Buc Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks. 443-454 2010 PRIB https://doi.org/10.1007/978-3-642-16001-1_38 conf/prib/2010 db/conf/prib/prib2010.html#Bruneld10

Srdjan Ostojic Nicolas Brunel Vincent Hakim Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities. 369-392 2009 26 J. Comput. Neurosci. 3 https://doi.org/10.1007/s10827-008-0117-3 https://www.wikidata.org/entity/Q46227917 db/journals/jcns/jcns26.html#OstojicBH09

Nicolas Brunel Frédéric Lavigne Semantic Priming in a Cortical Network Model. 2300-2319 2009 21 J. Cogn. Neurosci. 12 https://doi.org/10.1162/jocn.2008.21156 https://www.wikidata.org/entity/Q38385567 db/journals/jocn/jocn21.html#BrunelL09

Nicolas Brunel Vincent Hakim Neuronal Dynamics. 6099-6116 2009 Encyclopedia of Complexity and Systems Science https://doi.org/10.1007/978-0-387-30440-3_359 reference/complexity/2009 db/reference/complexity/ecss2009.html#BrunelH09

Alberto Mazzoni Stefano Panzeri Nikos K. Logothetis Nicolas Brunel Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons. 2008 4 PLoS Comput. Biol. 12 https://doi.org/10.1371/journal.pcbi.1000239 https://www.wikidata.org/entity/Q27336259 db/journals/ploscb/ploscb4.html#MazzoniPLB08

Nicolas Brunel Mark C. W. van Rossum Lapicque's 1907 paper: from frogs to integrate-and-fire. 337-339 2007 97 Biol. Cybern. 5-6 https://doi.org/10.1007/s00422-007-0190-0 https://www.wikidata.org/entity/Q34007916 db/journals/bc/bc97.html#BrunelR07

Nicolas Brunel Mark C. W. van Rossum Quantitative investigations of electrical nerve excitation treated as polarization: Louis Lapicque 1907 · Translated by. 341-349 2007 97 Biol. Cybern. 5-6 https://doi.org/10.1007/s00422-007-0189-6 https://www.wikidata.org/entity/Q48540891 db/journals/bc/bc97.html#BrunelR07a

Minh Quach Nicolas Brunel Florence d'Alché-Buc Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference. 3209-3216 2007 23 Bioinform. 23 https://doi.org/10.1093/bioinformatics/btm510 https://www.wikidata.org/entity/Q48373237 db/journals/bioinformatics/bioinformatics23.html#QuachBd07

Francesca Barbieri Nicolas Brunel Irregular persistent activity induced by synaptic excitatory feedback. 2007 1 Frontiers Comput. Neurosci. https://doi.org/10.3389/neuro.10.005.2007 https://www.wikidata.org/entity/Q41762309 db/journals/ficn/ficn1.html#BarbieriB07 5

Michael Graupner Nicolas Brunel STDP in a Bistable Synapse Model Based on CaMKII and Associated Signaling Pathways. 2007 3 PLoS Comput. Biol. 11 https://doi.org/10.1371/journal.pcbi.0030221 https://www.wikidata.org/entity/Q28471682 db/journals/ploscb/ploscb3.html#GraupnerB07

Carlo Baldassi Alfredo Braunstein Nicolas Brunel Riccardo Zecchina Efficient supervised learning in networks with binary synapses. 11079-11084 2007 104 Proc. Natl. Acad. Sci. USA 26 https://doi.org/10.1073/pnas.0700324104 https://www.wikidata.org/entity/Q35864950 db/journals/pnas/pnas104.html#BaldassiBBZ07

Carlo Baldassi Alfredo Braunstein Nicolas Brunel Riccardo Zecchina Efficient supervised learning in networks with binary synapses http://arxiv.org/abs/0707.1295 2007 CoRR abs/0707.1295 db/journals/corr/corr0707.html#abs-0707-1295

Nicolas Brunel David Hansel How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons. 1066-1110 2006 18 Neural Comput. 5 https://doi.org/10.1162/neco.2006.18.5.1066 https://www.wikidata.org/entity/Q47853129 db/journals/neco/neco18.html#BrunelH06

Christian Boucheny Nicolas Brunel Angelo Arleo A Continuous Attractor Network Model Without Recurrent Excitation: Maintenance and Integration in the Head Direction Cell System. 205-227 2005 18 J. Comput. Neurosci. 2 https://doi.org/10.1007/s10827-005-6559-y https://www.wikidata.org/entity/Q48497973 db/journals/jcns/jcns18.html#BouchenyBA05

Nicolas Fourcaud-Trocmé Nicolas Brunel Dynamics of the Instantaneous Firing Rate in Response to Changes in Input Statistics. 311-321 2005 18 J. Comput. Neurosci. 3 https://doi.org/10.1007/s10827-005-0337-8 https://www.wikidata.org/entity/Q36097803 db/journals/jcns/jcns18.html#Fourcaud-TrocmeB05

Nicolas Brunel Wojciech Pieczynski Unsupervised signal restoration using hidden Markov chains with copulas. 2304-2315 2005 85 Signal Process. 12 https://doi.org/10.1016/j.sigpro.2005.01.018 db/journals/sigpro/sigpro85.html#BrunelP05

Nicolas Brunel Wojciech Pieczynski Stéphane Derrode Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation. 717-720 2005 ICASSP (2) https://doi.org/10.1109/ICASSP.2005.1415505 conf/icassp/2005 db/conf/icassp/icassp2005.html#BrunelPD05

Nicolas Brunel Peter E. Latham Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron. 2281-2306 2003 15 Neural Comput. 10 https://doi.org/10.1162/089976603322362365 https://www.wikidata.org/entity/Q47875434 db/journals/neco/neco15.html#BrunelL03

Nicolas Fourcaud Nicolas Brunel Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons. 2057-2110 2002 14 Neural Comput. 9 https://doi.org/10.1162/089976602320264015 https://www.wikidata.org/entity/Q47884550 db/journals/neco/neco14.html#FourcaudB02

Nicolas Brunel Xiao-Jing Wang Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition. 63-85 2001 11 J. Comput. Neurosci. 1 db/journals/jcns/jcns11.html#BrunelW01 https://doi.org/10.1023/A:1011204814320 https://www.wikidata.org/entity/Q43721368

Nicolas Brunel Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons. 307-312 2000 32-33 Neurocomputing https://doi.org/10.1016/S0925-2312(00)00179-X https://www.wikidata.org/entity/Q56765374 db/journals/ijon/ijon32.html#Brunel00

Nicolas Brunel Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons. 183-208 2000 8 J. Comput. Neurosci. 3 db/journals/jcns/jcns8.html#Brunel00 https://doi.org/10.1023/A:1008925309027 https://www.wikidata.org/entity/Q47899491

Nicolas Brunel Vincent Hakim Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates. 1621-1671 1999 11 Neural Comput. 7 db/journals/neco/neco11.html#BrunelH99 https://doi.org/10.1162/089976699300016179 https://www.wikidata.org/entity/Q47903215

Nicolas Brunel Jean-Pierre Nadal Mutual Information, Fisher Information and Population Coding. 1731-1757 1998 10 Neural Comput. 7 db/journals/neco/neco10.html#BrunelN98 https://doi.org/10.1162/089976698300017115 https://www.wikidata.org/entity/Q77323451

Nicolas Brunel Jean-Pierre Nadal Optimal tuning curves for neurons spiking as a Poisson process. 1997 conf/esann/1997 ESANN db/conf/esann/esann1997.html#BrunelN97 https://www.esann.org/sites/default/files/proceedings/legacy/es1997-508-S.pdf Nicolas Brunel Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking Neurons. 31-36 1997 conf/icann/1997 ICANN db/conf/icann/icann1997.html#Brunel97 https://doi.org/10.1007/BFb0020128

Nicolas Brunel Hebbian Learning of Context in Recurrent Neural Networks. 1677-1710 1996 8 Neural Comput. 8 https://doi.org/10.1162/neco.1996.8.8.1677 https://www.wikidata.org/entity/Q47915051 db/journals/neco/neco8.html#Brunel96

Alireza Alemi Yali Amit Angelo Arleo Carlo Baldassi Francesca Barbieri Christian Boucheny Alfredo Braunstein Nicole Calakos Claudia Clopath Florence d'Alché-Buc Stéphane Derrode Alexis M. Dubreuil Daniel Durstewitz Yu Feng 0004 Nicolas Fourcaud-TrocméNicolas Fourcaud Sebastian Goldt Michael Graupner Vincent Hakim David Hansel Loreen Hertäg David Higgins Mark H. Histed Huseein Jawad Florent Krzakala Jérôme Lapuyade-Lahorgue Peter E. Latham Frédéric Lavigne Erwan Ledoux Nikos K. Logothetis Alberto Mazzoni Gianluigi Mongillo Jean-Pierre Nadal Srdjan Ostojic Stefano Panzeri Ulises Pereira Wojciech Pieczynski Minh Quach Mark C. W. van Rossum Alessandro Sanzeni Elisa M. Tartaglia Brandon D. Turner Xiao-Jing Wang Kevin Whittingstall Aghil Abed Zadeh Lenka Zdeborová Riccardo Zecchina