Ahissar, E., Sosnik, R., & Haidarliu, S. (2000). Transformation from temporal to rate coding in a somatosensory thalamocortical pathway. Nature, 406, 302–306.

Article  CAS  Google Scholar 

Antonini, M. J., Sahasrabudhe, A., Tabet, A., Schwalm, M., Rosenfeld, D., Garwood, I., Park, J., Loke, G., Khudiyev, T., Kanik, M., Corbin, N., Canales, A., Jasanoff, A. P., Fink, Y., & Anikeeva, P. (2021). Customizing MRI-compatible multifunctional neural interfaces through Fiber drawing. Advanced functional materials, 31(43), 2104857. https://doi.org/10.1002/adfm.202104857

Article  CAS  Google Scholar 

Applebaum, D. (1996). Probability and information: an integrated approach. Cambridge University Press.

Alpaydın, E. (2014). Introduction to machine learning (3rd ed.). MIT Press.

Google Scholar 

Andersen, R. A., Hwang, E. J., & Mulliken, G. H. (2010). Cognitive neural prosthetics. Annual Review of Psychology, 61, 169–190.

Article  Google Scholar 

Baker, S. N., Spinks, R., Jackson, A., & Lemon, R. N. (2001). Synchronization in monkey motor cortex during a precision grip task. I. Task-dependent modulation in single-unit synchrony. Journal of Neurophysiology, 85, 869–885.

Article  CAS  Google Scholar 

Barraclough, D. J., Conroy, M. L., & Lee, D. (2004). Prefrontal cortex and decision making in a mixed-strategy game. Nature Neuroscience, 7, 404–410.

Article  CAS  Google Scholar 

Bernardo, J. M., & Smith, A. F. (2009). Bayesian theory (405 vol.). Wiley.

Boloori, A. R., Jenks, R. A., Desbordes, G., & Stanley, G. B. (2010). Encoding and decoding cortical representations of tactile features in the vibrissa system. Journal of Neuroscience, 30, 9990–10005.

Article  CAS  Google Scholar 

Bowman, A. W., & Azzalini, A. (1997). Applied smoothing techniques for data analysis: the kernel approach with S-Plus illustrations. Clarendon Press; Oxford University Press.

Brockwell, A. E., Rojas, A. L., & Kass, R. E. (2004). Recursive bayesian decoding of motor cortical signals by particle filtering. Journal of Neurophysiology, 91, 1899–1907.

Article  CAS  Google Scholar 

Bruno, R. M., & Simons, D. J. (2002). Feedforward mechanisms of excitatory and inhibitory cortical receptive fields. Journal of Neuroscience, 22, 10966–10975.

Article  CAS  Google Scholar 

Callier, T., & Bensmaia, S. J. (2021). Restoring the sense of touch with electrical stimulation of the nerve and brain. In B. Güçlü (Ed.), Somatosensory feedback for neuroprosthetics (pp. 349–378). Academic.

Chapter  Google Scholar 

Chapin, J. K., & Lin, C. S. (1984). Mapping the body representation in the SI cortex of anesthetized and awake rats. The Journal of Comparative Neurology, 229, 199–213.

Article  CAS  Google Scholar 

Chapin, J. K., Moxon, K. A., Markowitz, R. S., & Nicolelis, M. A. L. (1999). Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nature Neuroscience, 2, 664–670.

Article  CAS  Google Scholar 

Chaure, F. J., Rey, H. G., & Quiroga, R. Q. (2018). A novel and fully automatic spike-sorting implementation with variable number of features. Journal of Neurophysiology, 120, 1859–1871.

Chen, Z. (2013). An overview of bayesian methods for neural spike train analysis. Computational Intelligence and Neuroscience, 2013, 1–17. https://doi.org/10.1155/2013/251905

Devecioğlu, İ, & Güçlü, B. (2013). Asymmetric response properties of rapidly adapting mechanoreceptive fibers in the rat glabrous skin. Somatosensory and Motor Research, 30, 16–29.

Article  Google Scholar 

Devecioğlu, İ, & Güçlü, B. (2015). A novel vibrotactile system for stimulating the glabrous skin of awake freely behaving rats during operant conditioning. Journal of Neuroscience Methods, 242, 41–51.

Article  Google Scholar 

Doya, K., Ishii, S, Pouget, A., & Rao, RPN (Eds.). (2011). Bayesian brain: Probabilistic approaches to neural coding. MIT Press.

Feldman, N. H., Griffiths, T. L., & Morgan, J. L. (2009). The influence of categories on perception: explaining the perceptual magnet effect as optimal statistical inference. Psychological Review, 116, 752–782.

Article  Google Scholar 

Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003). Discrete coding of reward probability and uncertainty by dopamine neurons. Science, 299, 1898–1902.

Article  CAS  Google Scholar 

Gabernet, L., Jadhav, S. P., Feldman, D. E., Carandini, M., & Scanziani, M. (2005). Somatosensory integration controlled by dynamic thalamocortical feed-forward inhibition. Neuron, 48, 315–327.

Article  CAS  Google Scholar 

Genovesio, A., Brasted, P. J., & Wise, S. P. (2006). Representation of future and previous spatial goals by separate neural populations in prefrontal cortex. Journal of Neuroscience, 26, 7305–7316.

Article  CAS  Google Scholar 

Georgopoulos, A. P., Schwartz, A. B., & Kettner, R. E. (1986). Neuronal population coding of movement direction. Science, 233, 1416–1419.

Article  CAS  Google Scholar 

Ghazanfar, A. A., Stambaugh, C. R., & Nicolelis, M. A. L. (2000). Encoding of tactile stimulus location by somatosensory thalamocortical ensembles. Journal of Neuroscience, 20, 3761–3775.

Article  CAS  Google Scholar 

Greenspan, J. D., & Bolanowski, S. J. (1996). The psychophysics of tactile perception and its peripheral physiological basis. In L. Kruger (Ed.), Pain and touch (pp. 25–104). Academic Press.

Chapter  Google Scholar 

Güçlü, B. (2021). Introduction to somatosensory neuroprostheses. In B. Güçlü (Ed.), Somatosensory feedback for neuroprosthetics (pp. 3–40). Academic Press.

Chapter  Google Scholar 

Hasegawa, R. P., Hasegawa, Y. T., & Segraves, M. A. (2009). Neural mind reading of multi-dimensional decisions by monkey mid-brain activity. Neural Networks, 22, 1247–1256.

Article  Google Scholar 

Hatsopoulos, N. G., & Suminski, A. J. (2011). Sensing with the motor cortex. Neuron, 72, 477–487.

Article  CAS  Google Scholar 

Hernandez, A., Zainos, A., & Romo, R. (2000). Neuronal correlates of sensory discrimination in the somatosensory cortex. Proceedings of the National Academy of Sciences, 97, 6191–6196.

Article  CAS  Google Scholar 

Hummelsheim, H., & Wiesendanger, M. (1985). Is the hindlimb representation of the rat’s cortex a “sensorimotor amalgam”? Brain Research, 346, 75–81.

Article  CAS  Google Scholar 

Kloosterman, F., Layton, S. P., Chen, Z., & Wilson, M. A. (2014). Bayesian decoding using unsorted spikes in the rat hippocampus. Journal of Neurophysiology, 111(1), 217–227. https://doi.org/10.1152/jn.01046.2012

Article  Google Scholar 

Laubach, M., Wessberg, J., & Nicolelis, M. A. (2000). Cortical ensemble activity increasingly predicts behaviour outcomes during learning of a motor task. Nature, 405, 567–571.

Article  CAS  Google Scholar 

Liu, X., Wan, H., & Shi, L. (2014). Quality metrics of spike sorting using neighborhood components analysis. The Open Biomedical Engineering Journal, 8, 60–67.

Article  Google Scholar 

Ma, W. J., Navalpakkam, V., Beck, J. M., Van Den Berg, R., & Pouget, A. (2011). Behavior and neural basis of near-optimal visual search. Nature Neuroscience, 14, 783–790.

Article  CAS  Google Scholar 

Makalic, E., & Schmidt, D. F. (2016). High-dimensional Bayesian regularised regression with the BayesReg package. ArXiv:1611.06649.

Neafsey, E. J., Bold, E. L., Haas, G., Quirk, G., Sievert, C. F., & Terreberry, R. R. (1986). The organization of the rat motor cortex: a microstimulation mapping study. Brain Research Reviews, 11, 77–96.

Article  Google Scholar 

Nicolelis, M. A. L., Ghazanfar, A. A., Stambaugh, C. R., Oliveira, L. M. O., Laubach, M., Chapin, J. K., Nelson, R. J., & Kaas, J. H. (1998). Simultaneous encoding of tactile information by three primate cortical areas. Nature Neuroscience, 1, 621–630.

Article  CAS  Google Scholar 

Öztürk, S., & Güçlü, B. (2019). Predicting psychophysical response from multi-electrode spike recordings in rat SI cortex. Society for Neuroscience Abstracts, 45, 22114.

Google Scholar 

Pantoja, J., Ribeiro, S., Wiest, M., Soares, E., Gervasoni, D., Lemos, N. A., & Nicolelis, M. A. (2007). Neuronal activity in the primary somatosensory thalamocortical loop is modulated by reward contingency during tactile discrimination. Journal of Neuroscience, 27(39), 10608–10620.

Article  CAS  Google Scholar 

Paxinos, G., & Watson, C. (2005). The rat brain in stereotaxic coordinates (5th ed.). Academic.

Google Scholar 

Petersen, R. S., Panzeri, S., & Diamond, M. E. (2002). Population coding in somatosensory cortex. Current Opinion in Neurobiology, 12, 441–447.

Article  CAS  Google Scholar 

Pollack, I., & Norman, D. A. (1964). A non-parametric analysis of recognition experiments. Psychonomic Science, 1, 125–126.

Article  Google Scholar 

Pouget, A., Dayan, P., & Zemel, R. (2000). Information processing with population codes. Nature Reviews Neuroscience, 1, 125–132.

Article  CAS  Google Scholar 

Saal, H. P., & Bensmaia, S. J. (2014). Touch is a team effort: interplay of submodalities in cutaneous sensibility. Trends in Neurosciences, 37, 689–697.

Article  CAS  Google Scholar 

Salinas, E., Hernandez, A., Zainos, A., & Romo, R. (2000). Periodicity and firing rate as candidate neural codes for the frequency of vibrotactile stimuli. Journal of Neuroscience, 20, 5503–5515.

Article  CAS  Google Scholar 

Schmitzer-Torbert, N., Jackson, J., Henze, D., Harris, K., & Redish, A. D. (2005). Quantitative measures of cluster quality for use in extracellular recordings. Neuroscience, 131(1), 1–11.

Article  CAS  Google Scholar 

Shaikhouni, A., Donoghue, J. P., & Hochberg, L. R. (2013). Somatosensory responses in a human motor cortex. Journal of Neurophysiology, 109, 2192–2204.

Article  Google Scholar 

Silverman, B. W. (1998). Density estimation for statistics and data analysis. Chapman & Hall/CRC.

Sinclair, R. J., & Burton, H. (1991). Neuronal activity in the primary somatosensory cortex in monkeys (Macaca mulatta) during active touch of textured surface gratings: responses to groove width, applied force, and velocity of motion. Journal of Neurophysiology, 66, 153–169.

Article  CAS  Google Scholar 

Suminski, A. J., Tkach, D. C., Fagg, A. H., & Hatsopoulos, N. G. (2010). Incorporating feedback from multiple sensory modalities enhances brain-machine interface control. Journal of Neuroscience, 30, 16777–16787.

Article  CAS  Google Scholar 

Talbot, W. H., Darian-Smith, I., Kornhuber, H. H., & Mountcastle, V. B. (1968, Mar). The sense of flutter-vibration: comparison of the human capacity with response patterns of mechanoreceptive afferents from the monkey hand. Journal of Neurophysiology, 31, 301–334. https://doi.org/10.1152/jn.1968.31.2.301

Talwar, S. K., & Gerstein, G. L. (1999). A signal detection analysis of auditory-frequency discrimination in the rat. Journal of the Acoustic Society of America, 105, 1784–1800.

Article