Multisensor Fusion for Brain-Computer Interfaces (BCIs)

Further Readings

• Calvert, G.A., Spence, C., & Stein, B.E. (Eds) (2004). The Handbook of Multisensory Processes (Cambridge, MA: MIT Press – Bradford Books) Amazon book link
• Maren, A.J., Akita, R.M., Colbert, B.D., Donovan, D.J., Glover, C.W., Mathia, K., Pap, R.M., Priddy, K.L., Robinson, T.W., & Saeks, R.E. (1998). U.S. Patent 5850625 A; Sensor Fusion Apparatus and Method. online
• Marino, R.A., Rodgers, C.K., Levy,R., & Munoz, D.P. (2008). Spatial relationships of visuomotor transformations in the superior colliculus map. J. Neurophys. 100 (5), 2564-2576 DOI: 10.1152/jn.90688.2008. online
• Robert-Ribes, J., Schwartz, J-L., & Escudier, P. (2005). A comparison of models for fusion of the auditory and visual sensors in speech perception. Artificial Intelligence Review 9 (4-5), 323-346. abstract and image of first two pages
• Stein, B.E., and Rowland, B.A. (2011). Organization and plasticity in multisensory integration: early and late experience affects its governing principles. Prog Brain Res. 191: 145–163. doi: 10.1016/B978-0-444-53752-2.00007-2. online
• Stein, B.E., & Meredith, M.A. (1993). The Merging of the Senses. (Cambridge, MA: MIT Press – Cognitive Neuroscience Series). Amazon book link

Image Processing

• S. Navlakha, P. Ahammad, E. W. Myers. (2013). Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging. BMC Bioinformatics 14, 294. abstract

Auditory Processing

• Montgomery, N., and Wehr, M. (2010) Auditory cortical neurons convey maximal stimulus-specific information at their best frequency. J Neurosci 30, 13362-13366. pdf

Neuronal Oscillations and Attention

• Anderson, D.E., Serences, J.T., Vogel, E.K., & Awh, E. (2014). Induced alpha rhythms track the content and quality of visual working memory representations with high temporal precision. J Neurosci 34 (22), 7587-7599. doi: 10.1523/JNEUROSCI.0293-14.2014 site
• Anderson, D.E., Ester, E.F., Serences, J.T., & Awh, E. (2013). Attending multiple items decreases the selectivity of population responses in human primary visual cortex. J Neurosci 33 (22), 9273-9282. doi: 10.1523/JNEUROSCI.0239-13.2013 site

Attentional Control; Pathways

• Awh, E., Belopolsky, A.V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: A failed theoretical dichotomy. Trends in Cognitive Sciences, 16(8), 437-443. pdf

Multiple Pathways (Information Coding Models)

• Gjorgjieva, Julijana, Haim Sompolinsky, and Markus Meister. “Benefits of Pathway Splitting in Sensory Coding.” The Journal of Neuroscience 34.36 (2014): 12127-12144. pdf