A Mehonic, A J Kenyon
Brain inspired computing needs a master plan, Nature.
"We do not propose that neuromorphic systems will, or should, replace conventional computing platforms. instead, precision calculations should remain the preserve of digital computation, whereas neuromorphic systems can process unstructured data, perform image recognition, classification of noisy and uncertain datasets, and underpin novel learning and inference systems."
Dennis V Christensen et al
2022 roadmap on neuromorphic computing and engineering, Neuromorp. Comput. Eng.
Catherine D Schuman, Shruti R Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Opportunities for neuromorphic computing algorithms and applications, Nature Computational Science.
Peter Y Wang, Yi Sun, Richard Axel, L F Abbott, Guangyu Robert Yang
Evolving the olfactory system with machine learning, Neuron.
..assumptions, assumptions, numbing assumptions.
AJ. A. Covington, S. Marco, K. C. Persaud, S. S. Schiffman, H. T. Nagle
Artificial Olfaction in the 21st Century, IEEE Sensors Journal.
"Such an affordable device is not currently available for this application. Even though thousands of such devices are needed around the world, that market has not yet produced a commercially viable unit to meet this unfulfilled need."
"A mature treatment of eNoses as measurement and monitoring instruments goes through an adequate definition and calculation of figures of merit that allows the objective comparison of various instruments. These figures of merit are well established for univariate sensors, but their definition and widespread use for chemical sensor arrays have been hampered by aspects such as the non-linearity of the sensors, the use of multivariate tools based on machine learning or the difficulties associated with the measured magnitude, when it is it is expressed in terms of human perception. In the last decade we have seen new proposals for the definition and estimation of important figures of merit such as selectivity, limit of detection or chemical resolution. Many of these new proposals are based on prior art."
Ann-Sophie Barwich
A critique of olfactory objects, Frontiers in Psychology.
..philosopy may not be dead after all.
Kevin A Bolding, Kevin M Franks
Recurrent cortical circuits implement concentration-invariant odor coding, Science.
- presents curious but convincing evidence for concentration invariance in the piriform cortex but not in the bulb..."eliminating recurrent circuity [in the piriform cortex] impaired classification of responses to different odorants,,, This result suggests a more constructive role for recurrent circuitry stabilizing or 'completing' representations by using partial or incomplete input, although further work is required to demonstrate this effect equivocally'
Thomas A Cleland
Construction of odor representations by olfactory bulb microcircuits, Progress in Brain Research.
- ..not specifically accurate so much as it is useful, that is the subject of the discourse, the exposition itself is exactly the polar opposite.
Yuguo Yu, Michele Migliore, Michael L. Hines, Gordon M. Shephard
Sparse coding and lateral inhibition arising from balanced and unbalanced dendrodendritic excitation and inhibition, The Journal of Neuroscience
- ..two emergent properties of [the] olfactory bulb.. sparseness and decorrelation.
Barani Raman, Mark Stopfer, Steve Semancik
Mimicking biological design and computing principles in artificial olfaction, ACS Chem. Neurosci.
- a packed review
Takeshi İmai, Hitoshi Sakano, Leslie B. Vosshall
Topograhic mapping- The Olfactory System, Cold Spring Harbour Perspectives in Biology,
Barani Raman, Ricardo Gutierrez-Osuna
Relating Sensor Responses of Odorants to Their Organoleptic Properties by Means of a Biologically-Inspired Model of Receptor Neuron Convergence onto Olfactory Bulb, Biologically Inspired Signal Processing for Chemical Sensing.
Vipin Sirivastava, DJ Parker, SF Edwards
The nervous system might 'orthogonalize' to discriminate, Journal of Theoretical Biology
Thomas A Cleland., Brett A Johnson, Michael Leon, Christiane Linster
Relational representation in the olfactory system, PNAS.
-a network to implement z-score normalization. z-score then achieves concentration tolerance quite well!
Thomas A Cleland., P Sethupathy
Non-topographical contrast enhancement in the olfactory bulb. BMC Neurosci.
- brilliant exposition of the inevitably fragmented geometry of glomerular mappings.. however, Kohonen mapped -and patchy- these semantic maps can be directly used for contrast enhancement and gain control. Or, are we not supposed to surpass blind biology?
Barani Raman, Ping A Sun, Agustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna
Processing of chemical sensor arrays with a biologically inspired model of olfactory coding, IEEE Tran Neural Networks.
Barani Raman, Ricardo Gutierrez-Osuna
Concentration normalization with a model of gain control in the olfactory bulb, Sens. Actuat.
Barani Raman, T. Yamanaka, Ricardo Gutierrez-Osuna
Contrast enhancement of gas sensor array patterns with a neurodynamics model of the olfactory bulb, Sens Actuators B.
Thomas A Cleland, Christiane Linster
Computation in the olfactory system, Chem. Senses.
Guillermo A Cecchi, Leopoldo T Petrenau, Arturo Alverez-Buylla, Marcelo O Magnosco
Unsupervised learning and adaptation in a model of adult neurogenesis, Journal of Computational Neuroscience.
.-an activity dependent orthogonalization algorithm for post-sensory neurons.
Vipin Srivastava, SF Edwards
A model of how the brain discriminates and categorises, Physica A.
..
Vipin Srivastava
A unified view of the orthogonalization methods, Journal of Physics: A Mathematical and general,
..
Teuvo Kohonen
Self-organized formation of topologically correct feature maps, Biol. Cybern.
- an algorithm to create semantic maps of an event space of any sensory modality
Krishna Persaud, George Dodd
Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose, Nature.
- '"without the necessity for highly specialized peripheral receptors, the olfactory systems makes use of feature detection using broadly tuned receptor cells organized in a convergent neurone pathway." This is the neuro backed nano idea.
J J Hopfield
Neural networks and physical systems with emergent collective computational abilities, PNAS.
- no magical feat,