Iain Murray

Search results

• 2024

  SECRET: Statistical Emulation for Computational Reverse Engineering and Translation with applications in healthcare

  Paun, L. M., Colebank, M. J., Taylor-LaPole, A., Olufsen, M. S., Ryan, W., Murray, I., Salter, J. M., Applebaum, V., Dunne, M., Hollins, J., Kimpton, L., Volodina, V., Xiong, X. & Husmeier, D., Oct 2024, In: Computer Methods in Applied Mechanics and Engineering. 430, p. 1-22 22 p., 117193.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Computational Fluid Dynamics 100%
  • Dynamic Models 100%
  • Reverse Engineering 100%
  • Ground Truth 100%
  • Inference Technique 100%
• 2023

  Nudging neural click prediction models to pay attention to position

  Karra, E., Zhao, W., Murray, I. & Pellegrini, R., 21 Oct 2023, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23). ACM, p. 1067–1076 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • User 100%
  • Prediction Model 100%
  • Biases 100%
  • Attention 100%
  • Models 66%
• 2022

  Don’t recommend the obvious: Estimate probability ratios

  Pellegrini, R., Zhao, W. & Murray, I., 13 Sept 2022, Proceedings of the 16th ACM Conference on Recommender Systems. Golbeck, J., Maxwell Harper, F., Murdock, V., Ekstrand, M., Shapira, B., Basilico, J., Lundgaard, K. & Oldridge, E. (eds.). ACM Association for Computing Machinery, p. 188-197 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • User 100%
  • Probability Estimate 100%
  • Recommender Systems 100%
  • Estimate Probability 100%
  • Mutual Information 66%
• 2021

  Maximum Likelihood Training of Score-Based Diffusion Models

  Song, Y., Durkan, C., Murray, I. & Ermon, S., 6 Dec 2021, Advances in Neural Information Processing Systems 34. Neural Information Processing Systems Foundation, Inc, 14 p. (Advances in Neural Information Processing Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Diffusion 100%
  • Training 100%
  • Diffusion Model 100%
  • Facilitated Diffusion 100%
  • Autoregressive Model 60%

• Regularising Fisher Information Improves Cross-lingual Generalisation

  Cooper Stickland, A. & Murray, I., 11 Nov 2021, Proceedings of the 1st Workshop on Multilingual Representation Learning. Punta Cana, Dominican Republic: Association for Computational Linguistics, p. 238-241 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Fisher Information 100%
  • Generalisation 100%
  • Information 100%
  • Generalization 100%
  • Loss 75%

• CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

  Zhang, C., Fiore, M., Murray, I. & Patras, P., 18 May 2021, The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). AAAI Press, p. 10851 - 10858 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 35, no. 12).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Model 100%
  • Stream 100%
  • Point Cloud 100%
  • Models 100%
  • Learning 60%

• Lossless compression with state space models using bits back coding

  Townsend, J. & Murray, I., 7 May 2021, Neural Compression Workshop at ICLR 2021. 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Compression 100%
  • Model 100%
  • Bit 100%
  • State 100%
  • Lossless Compression 100%
• 2020

  Density Deconvolution with Normalizing Flows

  Dockhorn, T., Ritchie, J. A., Yu, Y. & Murray, I., 18 Jul 2020. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Flow 100%
  • Deconvolution 100%
  • Mixture Model 66%
  • Mixture 66%
  • Experiments 33%

• On Contrastive Learning for Likelihood-free Inference

  Durkan, C., Murray, I. & Papamakarios, G., 18 Jul 2020, Proceedings of the 37th International Conference on Machine Learning. PMLR, p. 2771-2781 15 p. (Proceedings of Machine Learning Research; vol. 119).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Likelihood 100%
  • Contrastive 100%
  • Inference 100%
  • Contrastive Learning 100%
  • Learning 100%

• Ordering Dimensions with Nested Dropout Normalizing Flows

  Bekasovs, A. & Murray, I., 18 Jul 2020. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Flow 100%
  • Manifold 50%
  • Tradeoff 16%
  • Sequences 16%
  • Constraints 16%

• Diverse Ensembles Improve Calibration

  Cooper Stickland, A. & Murray, I., 17 Jul 2020. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Training 100%
  • Deep Neural Network 50%
  • Accuracy 50%
  • Models 50%
  • Benchmark 50%
• 2019

  Neural Spline Flows

  Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Neural Information Processing Systems Foundation, Inc, Vol. 32. p. 7511-7522 12 p. (Advances in Neural Information Processing Systems; vol. 32).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Splines 100%
  • Transformations 33%
  • Analytics 33%
  • Invertible Transformation 33%
  • Evaluation 33%

• Scalable Extreme Deconvolution

  Ritchie, J. & Murray, I., 14 Dec 2019. 7 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

  • Deconvolution 100%
  • Data Set 100%
  • Fitting 50%
  • Observation 50%
  • Large Data Set 50%

• BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

  Cooper Stickland, A. & Murray, I., 3 Jul 2019, (E-pub ahead of print) Proceedings of the 36th International Conference on Machine Learning (ICML). Chaudhuri, K. & Salakhutdinov, R. (eds.). Long Beach, USA: PMLR, Vol. 97. p. 5986-5995 12 p. (Proceedings of Machine Learning Research; vol. 97).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Bidirectional Encoder Representations From Transformers 100%
  • Multitask Learning 100%
  • Models 75%
  • Benchmark 50%
  • Natural-Language Understanding 25%

• Cubic-Spline Flows

  Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 15 Jun 2019, (E-pub ahead of print) First workshop on Invertible Neural Networks and Normalizing Flows: at ICML 2019. 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Cubic Spline 100%
  • Flow 100%
  • Splines 100%
  • Density Estimation 37%
  • Transforms 25%

• Model Criticism in Latent Space

  Seth, S., Murray, I. & Williams, C. K. I., 11 Jun 2019, In: Bayesian analysis. 14, 3, p. 703-725 23 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Criticism 100%
  • Space 100%
  • Model 100%
  • Procedure 50%
  • Likelihood 16%

• Mode Normalization

  Deecke, L., Murray, I. & Bilen, H., 9 May 2019, (E-pub ahead of print) Proceedings of the Seventh International Conference on Learning Representations (ICLR 2019). New Orleans, Louisiana, USA, 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Normalization 100%
  • Batch Normalization 66%
  • Normalization Method 66%
  • Building-Blocks 33%
  • Deep Learning 33%

• Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

  Papamakarios, G., Sterratt, D. C. & Murray, I., 18 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019. Naha, Okinawa, Japan: PMLR, p. 837-848 12 p. (Proceedings of Machine Learning Research; vol. 89).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Simulation 100%
  • Flow 100%
  • Inference 100%
  • Costs 50%
  • Training 50%

• Dynamic Evaluation of Transformer Language Models

  Krause, B., Mbabazi, E., Murray, I. & Renals, S., 17 Apr 2019, 6 p.

  Research output: Working paper

  Open Access

  • Transformer 100%
  • Language 100%
  • Evaluation 100%
  • Model 100%
  • Language Modeling 100%
• 2018

  Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting

  Bekasovs, A. & Murray, I., 16 Nov 2018, (Accepted/In press) p. 1-6. 6 p.

  Research output: Contribution to conference › Paper › peer-review

• Dynamic Evaluation of Neural Sequence Models

  Krause, B., Kahembwe, E., Murray, I. & Renals, S., 15 Jul 2018, Proceedings of the 35th International Conference on Machine Learning. Dy, J. & Krause, A. (eds.). Stockholmsmässan, Stockholm Sweden: PMLR, p. 2766-2775 10 p. (Proceedings of Machine Learning Research; vol. 80).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Evaluation 100%
  • Model 100%
  • Sequence Model 100%
  • Data Set 50%
  • Bit 50%

• Sequential Neural Methods for Likelihood-free Inference

  Durkan, C., Papamakarios, G. & Murray, I., 2018, p. 1-9. 9 p.

  Research output: Contribution to conference › Paper › peer-review

  • Inference 100%
  • Simulation 66%
  • Likelihood Function 33%
  • Simulator 33%
  • Conditionals 33%
• 2017

  Masked Autoregressive Flow for Density Estimation

  Papamakarios, G., Pavlakou, T. & Murray, I., 9 Dec 2017, Advances in Neural Information Processing Systems 30. Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). Long Beach, United States: Curran Associates Inc, p. 2335-2344 10 p. (Advances in Neural Information Processing Systems; vol. 30).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Density Estimation 100%
  • Flow 100%
  • Autoregressive Model 50%
  • Random Number 33%
  • Modeling 33%

• A determinant-free method to simulate the parameters of large Gaussian fields

  Ellam, L., Strathmann, H., Girolami, M. & Murray, I., Aug 2017, In: Stat. 6, 1, p. 271-281 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Parameters 100%
  • Gaussian Field 100%
  • Models 100%
  • Gaussian 66%
  • Covariance 66%

• Multiplicative LSTM for sequence modelling

  Krause, B., Murray, I., Renals, S. & LU, L., 26 Apr 2017, International Conference on Learning Representations - ICLR 2017 - Workshop Track. p. 2872-2880 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Long Short-Term Memory Network 100%
  • Recurrent Neural Network 33%
  • Neural Network Architecture 33%
  • Transition Function 16%
  • Evaluation 16%

• Markov Chain Truncation for Doubly-Intractable Inference

  Wei, C. & Murray, I., 15 Apr 2017, In: Journal of Machine Learning Research: Workshop and Conference Proceedings. 54, p. 776-784 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Markov Chain 100%
  • Truncation 100%
  • Inference 100%
  • Importance Sampling 33%
  • Normalizer 33%

• Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media

  Shoemark, P., Sur, D., Shrimpton, L., Murray, I. & Goldwater, S., 7 Apr 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Valencia, Spain: Association for Computational Linguistics, Vol. 1. p. 1239–1248 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Independence 100%
  • Linguistic Identity 100%
  • Social Media 100%
  • Linguistics 100%
  • Consumers 60%
• 2016

  Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation

  Papamakarios, G. & Murray, I., 10 Dec 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016). Barcelona, Spain: Neural Information Processing Systems Foundation, Inc, p. 1028-1036 9 p. (Advances in Neural Information Processing Systems; vol. 29).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Density Estimation 100%
  • Simulation Model 100%
  • Conditionals 100%
  • Bayesian 100%
  • Inference 100%

• Neural Autoregressive Distribution Estimation

  Uria, B., Côté, M-A., Gregor, K., Murray, I. & Larochelle, H., 1 Sept 2016, In: Journal of Machine Learning Research. 17, 205, p. 1-37 37 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Models 100%
  • Neural Network Architecture 50%
  • Topological Structure 50%
  • Input Dimension 50%
  • Probability 50%

• Pseudo-Marginal Slice Sampling

  Murray, I. & Graham, M., May 2016, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics 2016. Cadiz, Spain: PMLR, Vol. 51. p. 911-919 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Markov Chain Monte Carlo 100%
  • Probability Distribution 100%
  • Markov Chain 100%
  • Monte Carlo Markov Chain Method 50%
  • Monte Carlo Method 50%
• 2015

  On the Efficiency of Recurrent Neural Network Optimization Algorithms

  Krause, B., Lu, L., Murray, I. & Renals, S., Dec 2015, OPT2015 Optimization for Machine Learning at the Neural Information Processing Systems Conference, 2015. 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Recurrent Neural Network 100%
  • Network Optimization 100%
  • Memory Architecture 100%
  • Mathematical Optimization 100%
  • Long Short-Term Memory Network 100%

• Dissecting Magnetar Variability with Bayesian Hierarchical Models

  Huppenkothen, D., Brewer, B. J., Hogg, D. W., Murray, I., Frean, M., Elenbaas, C., Watts, A. L., Levin, Y., Van Der Horst, A. J. & Kouveliotou, C., 1 Sept 2015, In: Astrophysical Journal. 810, 1, 21 p.

  Research output: Contribution to journal › Article › peer-review

  • Magnetars 100%
  • Variability 100%
  • Bursts 60%
  • Independent Variables 30%
  • Magnetic Fields 20%

• Distilling Intractable Generative Models

  Papamakarios, G. & Murray, I., 2 Aug 2015, (Accepted/In press) Probabilistic Integration Workshop at the Neural Information Processing Systems Conference, 2015. 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Monte Carlo 100%
  • Partition Function 100%
  • Monte Carlo Method 50%
  • Estimation Method 50%
  • Samples 50%

• MADE: Masked Autoencoder for Distribution Estimation

  Germain, M., Gregor, K., Murray, I. & Larochelle, H., 7 Jul 2015, Proceedings of the 32nd International Conference on Machine Learning. Bach, F. & Blei, D. (eds.). PMLR, p. 881-889 9 p. (Proceedings of Machine Learning Research; vol. 37).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Autoencoder 100%
  • Joint Probability 50%
  • Estimation Theory 50%
  • Single Network 25%
  • Neural Network 25%

• Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE

  Uria, B., Murray, I., Renals, S., Valentini-Botinhao, C. & Bridle, J., 2015, Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on . IEEE Signal Processing Society Press, p. 4465-4469 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Acoustic Feature 100%
  • Artificial Neural Network 100%
  • Network Trajectory 100%
  • Models 66%
  • Neural Network 33%
• 2014

  A Deep and Tractable Density Estimator

  Uria, B., Murray, I. & Larochelle, H., 24 Jun 2014, Proceedings of the 31st International Conference on Machine Learning. PMLR, p. 467-475 9 p. (Journal of Machine Learning Research: Workshops & Conference Proceedings; vol. 32, no. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Ordering 100%
  • Estimation Theory 100%
  • Models 80%
  • Distribution 40%
  • Inference 30%

• Parallel MCMC with Generalized Elliptical Slice Sampling

  Nishihara, R., Murray, I. & Adams, R. P., 1 Jun 2014, In: Journal of Machine Learning Research. 15, p. 2087-2112 26 p., 61.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Markov Chain 100%
  • Approximation (Algorithm) 25%
  • Target Distribution 25%
  • Share Information 12%
  • Computational Load 12%
• 2013

  Estimation Bias in Maximum Entropy Models

  Macke, J. H., Murray, I. & Latham, P. E., Aug 2013, In: Entropy. 15, 8, p. 3109-3129 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Bias 100%
  • Entropy 100%
  • Model 100%
  • Maximum Entropy 100%
  • Biases 100%

• Attention as Reward-Driven Optimization of Sensory Processing: Neural Computation

  Chalk, M., Murray, I. & Seriés, P., 18 Jun 2013, In: Neural Computation. 25, 11, p. 2904-2933 30 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Sensory Processing 100%
  • Neuron 100%
  • Visual Cortex 50%
  • Sensory Neuron 50%
  • Nerve Potential 50%

• A Composable Strategy for Shredded Document Reconstruction

  Ranca, R. & Murray, I., 2013, Computer Analysis of Images and Patterns. Wilson, R., Hancock, E., Bors, A. & Smith, W. (eds.). Springer, p. 324-331 8 p. (Lecture Notes in Computer Science; vol. 8048).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Domains 100%
  • Forensics 100%

• A Framework for Evaluating Approximation Methods for Gaussian Process Regression

  Chalupka, K., Williams, C. K. I. & Murray, I., 2013, In: Journal of Machine Learning Research. 14, p. 333-350 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Gaussian Process 100%
  • Approximation (Algorithm) 100%
  • Regression 100%
  • Approximation Algorithms 33%
  • Machine Learning 33%

• RNADE: The real-valued neural autoregressive density-estimator

  Uria, B., Murray, I. & Larochelle, H., 2013, Advances in Neural Information Processing Systems 26. p. 2175-2183 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Models 100%
  • Distributed Representation 33%
  • Network Density 33%
  • Vectors 33%
  • Standards 33%
• 2012

  Deep Architectures for Articulatory Inversion

  Uria, B., Murray, I., Renals, S. & Richmond, K., Sept 2012, INTERSPEECH 2012 13th Annual Conference of the International Speech Communication Association. ISCA, p. 867-870 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Deep Architecture 100%
  • Deep Neural Network 66%
  • Network Density 66%
  • Models 66%
  • Accuracy 33%
• 2011

  How biased are maximum entropy models?

  Macke, J. H., Murray, I. & Latham, P. E., 2011, Advances in Neural Information Processing Systems 24. Shawe-Taylor, J., Zemel, R. S., Bartlett, P., Pereira, F. C. N. & Weinberger, K. Q. (eds.). p. 2034-2042 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Maximum Entropy 100%
  • Maximum Entropy Model 100%
  • Entropy 100%
  • Models 71%
  • Biases 57%

• The Neural Autoregressive Distribution Estimator

  Larochelle, H. & Murray, I., 2011, Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 15. p. 29-37 9 p. ( JMLR: Workshop and Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Models 100%
  • Estimation Theory 100%
  • Boltzmann Machine 80%
  • Restricted Boltzmann Machine 80%
  • Probability 40%
• 2010

  Dynamical Inference from a Kinematic Snapshot: The Force Law in the Solar System

  Bovy, J., Murray, I. & Hogg, D. W., Mar 2010, In: Astrophysical Journal. 711, 2, p. 1157-1167 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Kinematics 100%
  • Populations 100%
  • Solar System 100%
  • Distribution Function 100%
  • Intervals 50%

• Elliptical slice sampling

  Murray, I., Adams, R. P. & MacKay, D. J. C., 2010, Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS). Journal of Machine Learning Research: Workshop and Conference Proceedings, p. 541-548 8 p. (Journal of Machine Learning Research: Workshop and Conference Proceedings; vol. 9).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Sampling 100%
  • Model 100%
  • Models 100%
  • Gaussian Process 80%
  • Algorithms 40%

• Incorporating side information into probabilistic matrix factorization using Gaussian Processes

  Adams, R. P., Dahl, G. E. & Murray, I., 2010, Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010). 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Gaussian Process 100%
  • Matrix Factorization 100%
  • Side Information 100%
  • Factorization 100%
  • Matrix 100%

• Slice sampling covariance hyperparameters of latent Gaussian models

  Murray, I. & Adams, R. P., 2010, Neural Information Processing Systems Conference 2010. 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Sampling 100%
  • Covariance 100%
  • Model 100%
  • Gaussian Model 100%
  • Gaussian 100%
• 2009

  Characterizing response behavior in multisensory perception with conflicting cues

  Natarajan, R., Murray, I., Shams, L. & Zemel, R., 2009, Advances in Neural Information Processing Systems 21. Koller, D., Schuurmans, D., Bengio, Y. & Bottou, L. (eds.). p. 1153-1160 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Response Behavior 100%
  • Models 100%
  • Behavior (Neuroscience) 100%
  • Perception 100%
  • Behavior 100%