Sequence detectors as a basis of grammar in the brain

Grammar processing may build upon serial-order mechanisms known from non-human species. A circuit similar to that underlying direction-sensitive movement detection in arthropods and vertebrates may become selective for sequences of words, thus yielding grammatical sequence detectors in the human brain. Sensitivity to the order of neuronal events arises from unequal connection strengths between two word specific neural units and a third element, the sequence detector. This mechanism, which critically depends on the dynamics of the neural units, can operate at the single neuron level and may be relevant at the level of neuronal ensembles as well. Due to the repeated occurrence of sequences, for example word strings, the sequence-sensitive elements become more firmly established and, by substitution of elements between strings, a process called auto-associative substitution learning (AASL) is triggered. AASL links the neuronal counterparts of the string elements involved in the substitution process to the sequence detector, thereby providing a brain basis of what can be described linguistically as the generalization of rules of grammar. A network of sequence detectors may constitute grammar circuits in the human cortex on which a separate set of mechanisms establishing temporary binding and recursion can operate.

[1]  F. Pulvermüller A brain perspective on language mechanisms: from discrete neuronal ensembles to serial order , 2002, Progress in Neurobiology.

[2]  D. Zipser,et al.  A spiking network model of short-term active memory , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[3]  S C Kleene,et al.  Representation of Events in Nerve Nets and Finite Automata , 1951 .

[4]  A. Aertsen Brain theory : spatio-temporal aspects of brain function , 1993 .

[5]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[6]  Gully A. P. C. Burns,et al.  The Analysis of Cortical Connectivity , 1995 .

[7]  Matteo Pradella,et al.  Associative definition of programming languages , 2000, Comput. Lang..

[8]  E. Vaadia,et al.  Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. , 1993, Journal of neurophysiology.

[9]  V. Braitenberg,et al.  The detection and generation of sequences as a key to cerebellar function: Experiments and theory , 1997, Behavioral and Brain Sciences.

[10]  D. Heck Rat cerebellar cortex in vitro responds specifically to moving stimuli , 1993, Neuroscience Letters.

[11]  H. Barlow,et al.  The mechanism of directionally selective units in rabbit's retina. , 1965, The Journal of physiology.

[12]  Y. Sakurai How do cell assemblies encode information in the brain? , 1999, Neuroscience & Biobehavioral Reviews.

[13]  H. C. LONGUET-HIGGINS,et al.  Non-Holographic Associative Memory , 1969, Nature.

[14]  P M MILNER,et al.  The cell assembly: Mark II. , 1957, Psychological review.

[15]  Jeffrey L. Elman,et al.  Default Generalisation in Connectionist Networks. , 1995 .

[16]  F. Pulvermüller On the matter of rules. Past-tense formation and its significance for cognitive neuroscience. , 1998, Network.

[17]  L. Garey Cortex: Statistics and Geometry of Neuronal Connectivity, 2nd edn. By V. BRAITENBERG and A. SCHÜZ. (Pp. xiii+249; 90 figures; ISBN 3 540 63816 4). Berlin: Springer. 1998. , 1999 .

[18]  D. Norris,et al.  The primacy model: a new model of immediate serial recall. , 1998, Psychological review.

[19]  Anna Christina Nobre The Autonomous Brain Peter D. Milner , 2000, Neuropsychologia.

[20]  Valentino Braitenberg,et al.  Brain Size and Number of Neurons: An Exercise in Synthetic Neuroanatomy , 2004, Journal of Computational Neuroscience.

[21]  D. Hubel Eye, brain, and vision , 1988 .

[22]  F. Pulvermüller The Neuroscience of Language , 2003 .

[23]  Eugene Galanter,et al.  Handbook of mathematical psychology: I. , 1963 .

[24]  J. Fuster Memory in the cerebral cortex : an empirical approach to neural networks in the human and nonhuman primate , 1996 .

[25]  H. Barlow,et al.  Retinal ganglion cells responding selectively to direction and speed of image motion in the rabbit , 1964, The Journal of physiology.

[26]  W. Reichardt,et al.  Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system. , 1989, Journal of the Optical Society of America. A, Optics and image science.

[27]  W. Reichardt,et al.  Übertragungseigenschaften im Auswertesystem für das Bewegungssehen , 1959 .

[28]  V. Braitenberg Cell Assemblies in the Cerebral Cortex , 1978 .

[29]  E Bienenstock,et al.  On the dimensionality of cortical graphs , 1996, Journal of Physiology-Paris.

[30]  Friedemann Pulverm Uuml,et al.  Words in the brain's language , 1999 .

[31]  D. Heck,et al.  Cerebellar structure and function: making sense of parallel fibers. , 2002, Human movement science.

[32]  E. Vaadia,et al.  Spatiotemporal structure of cortical activity: properties and behavioral relevance. , 1998, Journal of neurophysiology.

[33]  F. Pulvermüller,et al.  Words in the brain's language , 1999, Behavioral and Brain Sciences.

[34]  James L. McClelland,et al.  On learning the past-tenses of English verbs: implicit rules or parallel distributed processing , 1986 .

[35]  Noam Chomsky,et al.  The faculty of language: what is it, who has it, and how did it evolve? , 2002 .

[36]  J. Fuster Memory in the cerebral cortex , 1994 .

[37]  Thomas Wennekers,et al.  Associative memory in networks of spiking neurons , 2001, Neural Networks.

[38]  D. Willshaw A simple network capable of inductive generalization , 1972, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[39]  Prof. Dr. Dr. Valentino Braitenberg,et al.  Cortex: Statistics and Geometry of Neuronal Connectivity , 1998, Springer Berlin Heidelberg.

[40]  S. Pinker,et al.  Combination and structure, not gradedness, is the issue , 2002, Trends in Cognitive Sciences.

[41]  N. Drasdo Eye, brain, and vision David H. Hubel Scientific American Library Book — distributed by W. H. Freeman, New York, £15.95 , 1990 .

[42]  G. Palm,et al.  On associative memory , 2004, Biological Cybernetics.

[43]  F. Pulvermüller Brain reflections of words and their meaning , 2001, Trends in Cognitive Sciences.

[44]  Aravind K. Joshi,et al.  Processing crossed and nested dependencies: An automation perspective on the psycholinguistic results , 1990 .