Journal articles

1. Engaging and disengaging recurrent inhibition coincides with sensing and unsensing of a sensory stimulus
D. Saha*, W. Sun*, C. Li*, S. Nizampatnam, W. Padovano, Z. Chen, A. Chen, E. Altan, R. Lo, D. L. Barbour, and B. Raman
Nature Communications 8, article number: 15413, May 2017.
[* equal contributions]

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2. Non-invasive aerosol delivery and transport of gold nanoparticles to the brain
R. Raliya, D. Saha, T. S. Chadha, B. Raman and P. Biswas
Scientific Reports, vol. 7, no. 44718, March 2017.

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3. The I/O transform of a chemical sensor
N. Katta, D. C. Meier, K. Benkstein, S. Semancik and B. Raman
Sensors and Actuators B, Vol. 232, pp. 357-368, September 2016.

4. Relating early olfactory processing with behavior: a perspective
D. Saha and B. Raman
Current Opinion in Insect Science, Vo. 12, pp. 54-63, Dec 2015.

5. Behavioral correlates of combinatorial vs. temporal properties of odor codes
D. Saha*, C. Li*, S. Peterson, W. Padovano, N. Katta, and B. Raman
Nature Communications 6, article number: 6953, April 2015. [Matlab Code ]

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6. Bio-Inspired Polarization Imaging Sensors: From Circuits and Optics to Signal Processing Algorithms and Biomedical Applications
T. York, S. Powell, S. Gao, L. Kahan, T. Charanya, D. Saha, N. Roberts, T. Cronin, J. Marshall, S. Achilefu, S. Lake, B. Raman, and V. Gruev
Proceedings of the IEEE, Vol. 102, No. 10, pp. 1450-1469, 2014 [2016 IEEE Donald Fink Award]

7. Analytical capabilities of chemiresistive microsensor arrays in a simulated Martian atmosphere
K.D. Benkstein, P.H. Rogers, C.B. Montgomery, C. Jin, B. Raman, S. Semancik
Sensors and Actuators B: Chemical , 197, pp. 280-291, 2014.

8. A spatiotemporal coding mechanism for background-invariant odor recognition
D. Saha*, K. Leong*, C. Li*, G. Siegel and B. Raman
Nature Neuroscience, vol. 16, pp. 1830-1839, 2013. (Cover Article)


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9. Multi-unit recording methods to characterize neural activity in the locust (Schistocerca americana) olfactory circuits
D. Saha, K. Leong, N. Katta and B. Raman
Journal of Visualized Experiments, (71), e50139, doi:10.3791/50139 (2013).

10. Detecting and recognizing chemical targets in untrained backgrounds with temperature programmed sensor arrays
B. Raman, R. Shenoy, D. C. Meier, K. D. Benkstein, C. Mungle and S. Semancik
IEEE Sensors Journal, Special Issue on Machine Olfaction, Vol. 12, no. 11, pp. 3238-3247, 2012

11. Mimicking biological principles in artifical olfaction
B. Raman, M.Stopfer and S. Semancik
ACS Chemical Neuroscience , Vol. 2, no. 9, pp 487-499, September 2011.
(Invited Review)

12. Temporally diverse firing patterns in olfactory receptor neurons underlie spatio-temporal neural codes for odors
B. Raman, J. Joseph, J. Tang, and M. Stopfer
The Journal of Neuroscience , Vol. 30, no. 6, pp. 1994-2006, February 2010
(Highlighted article)

13. Microsensors in Dynamic Backgrounds: Towards real-time breath monitoring with temperature programmed microsensors
K. Benkstein, B. Raman and S. Semancik
IEEE Sensors , Special Issue on Sensors for Breath Analysis, Vol. 10, pp. 137-144, January 2010
(Cover article)

14. Frequency transitions in odor-evoked neural oscillations
I. Ito, M. Bazhenov, C. R. Ong, B. Raman, and M. Stopfer
Neuron , Vol. 64, pp. 692-706, December 2009

15. Detecting chemical hazards with temperature-programmed microsensors: overcoming analytical problems of increasing complexity by utilizing multi-dimensional databases
D. Meier, B. Raman, and S. Semancik
Annual Reviews Analytical Chemistry , Vol. 2, pp. 463-484, July 2009
(Invited review)

16. Designing and Optimizing Microsensor Arrays for Recognizing Chemical Hazards in Complex Environments
B. Raman, D. C. Meier, J. K. Evju and S. Semancik
Sensors and Actuators B, Vol. 137(2), pp. 617-629, April 2009

17. Inducing analytical orthogonality in tungsten oxide-based microsensors using materials structure and dynamic temperature control
K. D. Benkstein, B. Raman, D. L. Lahr, J. E. Bonevich and S. Semancik
Sensors and Actuators B, Vol. 137, pp. 48-55, March 2009

18. Olfactory learning and spike-timing dependent plasticity
I. Ito, C. R. Ong, B. Raman, and M. Stopfer
Communcative and Integrative Biology, Vol. 1(2), pp. 170-171, December 2008
(Article addendum)

19. A bio-inspired methodology for artificial olfaction
B. Raman, J. Hertz, K. Benkstein, and S. Semancik
Analytical chemistry, Vol. 80, no. 22, pp. 8364-8471, November 2008
(Highlighted article)

20. Sparse odor representation and olfactory learning
I. Ito, C. R. Ong, B. Raman, and M. Stopfer
Nature Neuroscience, Vol. 11, no.10, pp. 1177-1184, October 2008
(Highlighted article; F1000 evaluation: ‘Must read’)

21. Bilateral olfaction: two is better than one for navigation
B. Raman, I. Ito and M. Stopfer
Genome Biology, Vol. 9, pp. 212, March 2008
(News and Views)

22. Olfactory computations: Non-linear processing separates smell
B. Raman and M. Stopfer
Current Biology, Vol. 18, no. 1, pp. R29-R32, January 2008
(News and Views)

23. Neuromorphic processing for optical microbead arrays: dimensionality reduction and contrast enhancement
B. Raman, T. Kotseroglou, L. Clark, M. Lebl and R. Gutierrez-Osuna
IEEE Sensors, Vol 7, no. 4, pp. 506-514, April 2007
(Cover article)

24. Potential for and challenges of detecting chemical hazards with temperature-programmed microsensors
D. C. Meier, J. K. Evju, Z. Boger, B. Raman, K. D. Benkstein, C. J. Martinez, C. B. Montgomery, and S. Semancik
Sensors and Actuators B, Vol. 121, no.1, pp. 282-294, January 2007

25. Contrast enhancement of gas sensor array-patterns with a neurodynamics model of the olfactory bulb
B. Raman, T. Yamanaka and R. Gutierrez-Osuna
Sensors and Actuators B, Vol. 119, no. 2, pp. 547-555, December 2006

26. Processing of chemical sensor array with a biologically-inspired model of olfactory coding
B. Raman, P. Sun, A. Gutierrez-Galvez, and R. Gutierrez-Osuna
IEEE Transactions on Neural Networks, Vol. 17, no. 4, pp. 1015-1024, July 2006

27. Concentration normalization with a model of gain control in the olfactory bulb
B. Raman and R. Gutierrez-Osuna
Sensors and Actuators B, Vol. 116, no. 1-2, pp. 36-42, July 2006

28. A dimensionality-reduction technique inspired by receptor convergence in the olfactory system
A. Perera, T. Yamanaka, A. Gutierrez-Galvez, B. Raman, and R. Gutierrez-Osuna
Sensors and Actuators B, Vol. 116, no. 1-2, pp. 17-22, July 2006

29. Computer based pedestrian landscape design using decision tree templates
B. Raman and Jody R. Naderi
Advanced Engineering Informatics, Vol. 20, no. 1, pp. 23-30, January 2006



Book Chapters

Evaluation of Metal Oxide Nanowire Materials With Temperature-Controlled Microsensor Substrates
K. D. Benkstein, B. Raman, D. L. Lahr, S. Semancik
Metal Oxide Nanomaterials for Chemical Sensors , eds. A. M. Carpenter, S. Mathur, A. Kolmakov, Springer, 2013, pp. 439-464 (ISBN: 978-1-4614-5395-6)

A statistical approach to material evaluation and selection for chemical sensor arrays
B. Raman, D. C. Meier, S. Semancik
Computational Methods for Sensor Material Selection, eds. M. A. Ryan, A. V. Shevade, C. J. Taylor, M. L. Homer, M. Blanco, Springer, October 2009, pp. 221-244 (ISBN: 978-0-387-73714-0)

Relating sensor response of odorants to their organoleptic properties by means of a biologically inspired model of receptor neuron convergence onto the olfactory bulb
B. Raman and R. Gutierrez-Osuna
Biologically Inspired Signal Processing for Chemical Sensing, eds. S. Marco and A. Gutierrez-Galvez, Springer-Verlag, April 2009, pp. 93-108 (ISBN: 978-3-642-00175-8)



Conference Proceedings

1. In vivo photoacoustic neuronal imaging of odor-evoked calcium signals in the drosophila brain
Ruiying Zhang, Bin Rao, Haoyang Rong, Baranidharan Raman, Lihong V. Wang
Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97082V (April 27, 2016); doi:10.1117/12.2235935

2. A 220 x 128 120 mW 60 frames/s current mode polarization imager for in vivo optical neural recording
T. York, V. Gruev, D. Saha, B. Raman
IEEE International Symposium onCircuits and Systems (ISCAS), pp. 1849 - 1852, Melbourne, Australia, 2014

3. Analysis of Biological and Artificial Chemical Sensor Repsonses to Odor Mixtures
Nalin Katta, Debajit Saha, Kevin Leong, Junnan Wu, Naveen Gandra, Wei-Ning Wang, Parag Banerjee, Srikanth Singamenni, Pratim Biswas, Baranidharan Raman
IEEE Sensors conference (2013), Baltimore, USA, Nov 3-6, 2013

4. Microsensor Analyses for trace targets over extended times in a simulated martian environment
Kurt D. Benkstein, Philip H. Rogers, Christopher B. Montgomery, Steve Semancik, C. Jerry Jin, Baranidharan Raman
IEEE Sensors conference (2013), Baltimore, USA, Nov 3-6, 2013

5. Methods for Optimizing and Extending the Performance of Chemiresistive Gas Microsensors
Kurt D. Benkstein, Alexander Vergara, Christopher B. Montgomery, Steve Semancik, Baranidharan Raman
IEEE Sensors conference (2013), Baltimore, USA, Nov 3-6, 2013

6. Microsensors for Mars: trace analyte detection in a simulated Martian environment
K. D. Benkstein, P. H. Rogers, C. B. Montgomery, J. Jin, B. Raman and S. Semancik
IMCS conference (2011), Nuremberg, Germany, May 20- 23, 2012

7. Odor Recognition vs. Classification in Artificial Olfaction
B. Raman, J. L. Hertz, K. Benkstein, and S. Semancik
ISOEN conference (2011), New York, USA, May 2- 5, 2011
(Invited Paper)

8. Advancs toward practical detection of trace chemical hazards with solid-state microarray devices
B. Raman, D. C. Meier, R. Shenoy, K.D. Benkstein, and S. Semancik
ISOEN conference (2011), New York, USA, May 2- 5, 2011
(Invited Paper)

9. A MEMS-based approach with temperature-dependent sensing responses for recognizing chemicals in untrained backgrounds
B. Raman, R. Shenoy, K.D. Benkstein, D. C. Meier and S. Semancik
IEEE Sensors Conference (2010), Waikola, Hawai, USA Nov 1- 4, 2010

10. Analysis of trial-by-trial variability in stimulus-evoked neural activity
B. Raman and M. Stopfer
IEEE EMBC conference (2010), Buenos Aires, Argentina, August 31- September 4, 2010
(Invited Paper)

11. Generating and Using Data of Higher Dimension for Gas-Phase Sensing
B. Raman, J.L. Hertz, K. D. Benkstein, D. C. Meier, C. S. Mungle, and S. Semancik
Proceedings of ElectroChemical Society Transactions, Vol. 19, no. 6, pp. 255-260, San Francisco, CA, USA, May 24-29, 2009

12. Enabling MEMS Chemical Microsensor Arrays for Trace Analyte Detection
D. C. Meier, J. K. Ejvu, K.D. Benkenstein, B. Raman, Z. Boger, D. Lahr, C. B. Montgomery and S. Semancik
Proceedings of Transducer 07 and Eurosensors XXI conference, Lyon, France, June 10-14, 2007

13. Odor mixture segmentation and background separation with a model of olfactory bulb-cortex interaction
B. Raman and R. Gutierrez-Osuna
Proceedings of the International Joint Conference on Neural Networks (IJCNN 2005), Montreal, Canada, July 31- Aug 4, 2005

14. Concentration normalization with a model of gain control in the olfactory bulb
B. Raman and R. Gutierrez-Osuna
Proceedings of the 11th International Symposium on Olfaction and the Electronic Nose (ISOEN 2005), Barcelona, Spain, April 13-15, 2005.

15. A dimensionality-reduction technique inspired by receptor convergence in the olfactory system
A. Perera, T. Yamanaka, A. Gutierrez-Galvez, B. Raman, and R. Gutierrez-Osuna
Proceedings of the 11th International Symposium on Olfaction and the Electronic Nose (ISOEN 2005), Barcelona, Spain, April 13-15, 2005.

16. Chemosensory processing in a spiking model of the olfactory bulb: chemotopic convergence and center surround inhibition
B. Raman and R. Gutierrez-Osuna
Proceedings of Advances in Neural Information Processing Systems 17 (NIPS 2004), Vancouver, BC, December 13-16, 2004

17. Cancellation of chemical backgrounds with generalized Fisher’s linear discriminants
R. Gutierrez-Osuna and b. Raman
Proceedings of the IEEE SENSORS Conference, Vienna, October 24-27, 2004

18. Sensor-based machine olfaction with a neurodynamics model of the olfactory bulb
B. Raman, A. Gutierrez-Galvez, A. Perera-Lluna, R. Gutierrez-Osuna
Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS 04), Sendai, Japan, Vol. 1, pp.319-324, 2004

19. Decision tree templates for interactive evidence-based design of site-specific use-specific pedestrian environments
B. Raman and J.R. Naderi
First International Conference on Design Cognition and Computing, MIT, Boston, USA, July 2004