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Feature Handling in Learning Algorithms

  • Conference paper
Dynamic Interactions in Neural Networks: Models and Data

Part of the book series: Research Notes in Neural Computing ((NEURALCOMPUTING,volume 1))

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Abstract

TLU (Threshold Logic Unit) representation and training provides a simplified formal model of neuron-like computation. Based on this abstract model, various formal properties and acceleration techniques are considered, the results of which appear relevant to observed biological phenomina.

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References

  • Abraham WC, Goddard GV (1983) Asymmetric relations between homosynaptic long-term potentiation and heterosynaptic long-term depression. Nature (London) 305:717–719

    Article  Google Scholar 

  • Abraham WC, Goddard GV (1985) Multiple traces of neural activity in the hippocampus. In: Weinberger NM, McGaugh JL, Lynch G (eds) Memory systems of the brain. The Guilford Press, New York

    Google Scholar 

  • Abraham WC, Goddard GV (1984) Functions of afferent coactivity in long-term potentiation. In: Lynch, G, McGaugh JL, Weinberger NM (eds) Neurophysiology of learning and memory. Guilford Press, New York

    Google Scholar 

  • Abrams TW (1985) Cellular studies of an associative mechanism for classical conditioning in Aplysia. In: Selverston AI (ed) Model neural networks and behavior. Plenum Press, New York

    Google Scholar 

  • Ackley DH, Hinton GE, Sejnowski TJ (1985) A learning algorithm for Boltzmann machines. Cog Sci 9:147–169

    Article  Google Scholar 

  • Adrain ED (1946) The physical background of perception. Clarendon Press, Oxford, Eng.

    Google Scholar 

  • Alger BE, Teyler TJ (1976) Long-term and short-term plasticity in CA1, CA3 and dentate regions of the rat hippocampal slice. Brain Res 110:463–480

    Article  Google Scholar 

  • Allan LG (1980) A note on measurement of contingency between two binary variables in judgement tasks. Bull Psychonomic Society 15:147–149

    Google Scholar 

  • Anderson DC, O’Farrell T, Formica R, Caponegri V (1969a) Preconditioning CS exposure: variation in the place of conditioning and presentation. Psychon Sci 15:54–55

    Google Scholar 

  • Anderson DC, Wolf D, Sullivan P (1969b) Preconditioning exposures to the CS: Variations in place of testing. Psychon Sci 14:233–235

    Google Scholar 

  • Anderson P, Sunberg SH, Sveen O, Swann JW, Wigstrom H (1980) Possible mechanisms for long-lasting potentiation of synaptic transmission in hippocampal slices from guinea-pigs. J Physiol 302:463–482

    Google Scholar 

  • Baker AG, Mercier P (1982a) Prior experience with the conditioning events: Evidence for a rich cognitive representation. In: Commons ML, Herrnstein RJ, Wagner AR (eds) Quantitative analyses of behavior (vol. III). Ballinger, Cambridge, MA

    Google Scholar 

  • Baker AG, Mercier P (1982b) Extinction of the context and latent inhibition. Learning and Motivation 13:391–416

    Article  Google Scholar 

  • Balsam PD (1985) The functions of context in learning and performance. In: Balsam PD, Tomic A (eds) Context and learning. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Barlow HB (1972) Single units and sensation: A neuron doctrine for perceptual psychology. Perception 1:371–394

    Article  Google Scholar 

  • Barrionuevo G, Brown TH (1983) Associative long-term synaptic potentiation in hippocampal slices. Proc Natl Acad Sci 80:7347–7351

    Article  Google Scholar 

  • Barsalov LW, Bower GH (1984) Discrimination nets as psychological models. Cog Sci 8:1–26

    Article  Google Scholar 

  • Barto AG (1985) Learning by statistical cooperation of self-interested neuron-like computing elements. Human Neurobiol 4:229–256

    Google Scholar 

  • Belnap ND Jr (1977) A useful four-valued logic. In: Modern uses of multiple-valued logic. Dunn JM, Epstein, G (eds) Reidel Publishing, Boston, MA

    Google Scholar 

  • Bindra D (1976) A theory of intelligent behavior. Wiley, New York

    Google Scholar 

  • Bliss TVP, Dolphin AC (1984) Where is the locus of long-term potentiation? In: Lynch G, McGaugh JL, Weinberger NM (eds) Neurobiology of learning and memory. Guilford Press, New York

    Google Scholar 

  • Bourne LE (1970) Knowing and using concepts. Psychol Rev 77:546–556

    Article  Google Scholar 

  • Bourne LE, Restle F (1959) Mathematical theory of concept identification. Psychol Rev 66:278–296

    Article  Google Scholar 

  • Bourne LE, Dominowski RL, Loftus EF (1979) Cognitive Processes. Prentice Hall, Englewood Cliffs, NJ

    Google Scholar 

  • Brown R, Kulik J (1977) Flashbulb memories. Cognition 5:73–99

    Article  Google Scholar 

  • Bulgarella RG, Archer EJ (1962) Concept identification of auditory stimuli as a function of amount of relevant and irrelevant information. J Exp Psychol 63:254–257

    Article  Google Scholar 

  • Channell S, Hall G (1983) Contextual effects in latent inhibition with an appetitive conditioning procedure. Animal Learning and Behavior 11:67–74

    Article  Google Scholar 

  • Cohen NJ (1984) Preserved learning capacity in amnesia: Evidence for multiple memory systems. In: Squire LR, Butters N (eds) Neuropsychology of memory. Guilford Press, New York

    Google Scholar 

  • Cohen NJ, Squire LR (1980) Preserved learning and retention of pattern-analyzing skill in amnesia: dissociation of knowing how and knowing that. Science 210:207–210

    Article  Google Scholar 

  • Collins L, Pearce JM (1985) Predictive accuracy and the effects of partial reinforcement on serial autoshaping. J Exp Psych, Animal Behav Processes 11:548–564

    Article  Google Scholar 

  • Crick FHC, Asanuma C (1986) Certain aspects of the anatomy and physiology of the cerebral cortex. In: McClelland JL, Rumelhart DE (eds) Parallel distributed processing v. 2. MIT Press, Cambridge, MA

    Google Scholar 

  • Dexter WR, Merrill HK (1969) Role of contextual discrimination in fear conditioning. J Comp Physiol Psych 69:677–681

    Article  Google Scholar 

  • Dickinson A (1980) Contemporary animal learning theory. Cambridge University Press, New York

    Google Scholar 

  • Domjan M, Burkhard B (1982) The principles of learning and behavior. Brooks/Cole Publishing Company, Monterey, CA

    Google Scholar 

  • Douglas RJ (1967) The hippocampus and behavior. Psychol Bull 67:416–442

    Article  Google Scholar 

  • Douglas RJ (1972) Pavlovian conditioning and the brain. In: Boakes RA, Halliday MS (eds) Inhibition and learning. Academic Press, London

    Google Scholar 

  • Doyle J (1979) A truth maintenance system. Artificial Intelligence 12:231–272

    Article  MathSciNet  Google Scholar 

  • Duda R, Hart P (1973) Pattern classification and scene analysis. Wiley, New York

    MATH  Google Scholar 

  • Dunwiddie T, Lynch G (1978) Long-term potentiation and depression of synaptic responses in the rat hippocampus: Localization and frequency dependency. J Physiol 276:353–367

    Google Scholar 

  • Gabriel M, Foster K, Orona E, Saltwick SE, Stanton M (1980) Neuronal activity of cingulate cortex, anteroventral thalamus, and hippocampal formation in discriminative conditioning: Encoding and extraction of the significance of conditional stimuli. In: Sprague JM, Epstein AN (eds) Progress in psychobiology and physiological psychology, vol. 9. Academic Press, New York

    Google Scholar 

  • Gabriel M, Orona E, Foster K (1982) Mechanism and generality of stimulus significance coding in a mammalian model system. In: Woody CD (ed) Advances in behavioral biology v. 26. Plenum Press, New York

    Google Scholar 

  • Garrud P, Rawlins JNP, Mackintosh NJ, Goodall G, Cotton MM, Feldon J (1984) Successful overshadowing and blocking in hippocampectomized rats. Behav Brain Res 12:29–53

    Article  Google Scholar 

  • Gelperin A, Hopfield JJ, Tank DW (1985) The logic of Limax learning. In: Selverston AI (ed) Model neural networks and behavior. Plenum Press New York

    Google Scholar 

  • Gibbon J, Berryman R, Thompson RL (1974) Contingency spaces and measure in classical and instrumental conditioning. J Exp Analysis Behav 21:585–605

    Article  Google Scholar 

  • Gibbon J (1981) The contingency problem in autoshaping. In: Locurto CM, Terrace HS, Gibbon J (eds) Autoshaping and conditioning theory. Academic Press, New York

    Google Scholar 

  • Gluck MA, Thompson RF (1987) Modeling the neural substrates of associative learning and memory: A computational approach. Psychol Rev 94:176–191

    Article  Google Scholar 

  • Gray JA (1982) The neuropsychology of anxiety: An enquiry into the function of the septo-hippocampal system. Oxford Univ Press, Oxford, Eng

    Google Scholar 

  • Gray JA (1984) The hippocampus as an interface between cognition and emotion. In: Roitblat HL, Bever TG, Terrace HS (eds) Animal cognition. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Hall G, Channell S (1985a) Differential effects of contextual change on latent inhibition and on the habituation of an orienting response. J Exp Psych: Animal Behav Processes 11:470–481

    Article  Google Scholar 

  • Hall G, Channell S (1985b) Latent inhibition and conditioning after preexposure to the training context. Learning and Motivation 16:381–397

    Article  Google Scholar 

  • Hall G, Channell S (1986) Context specificity of latent inhibition in taste aversion learning. Quart J Expl Psych 35B:121–139

    Google Scholar 

  • Hall G, Minor H (1984) A search for context-stimulus associations in latent inhibition. Quart J Exp Psych 36B:145–169

    Google Scholar 

  • Hammond LJ, Paynter WE Jr (1983) Probabilistic contingency theories of animal conditioning: A critical analysis. Learning and Motivation 14:527–550

    Article  Google Scholar 

  • Hampson SE, Kibler DA (1983) A Boolean complete neural model of adaptive behavior. Biol Cybern 49:9–19

    Article  MATH  Google Scholar 

  • Hampson SE, Volper DJ (1987) Disjunctive models of Boolean category learning. Biol Cybern 56, 121–137

    Article  MATH  Google Scholar 

  • Hampson SE, Volper D (1986) Linear function neurons: Structure and training. Biol Cybern 53:203–217

    Article  MATH  Google Scholar 

  • Hawkins RD, Kandel ER (1984) Is there a cell-biological alphabet for simple forms of learning? Psychol Rev 91:375–391

    Article  Google Scholar 

  • Hearst E (1984) Absence as information: some implications for learning, performance and representational processes. In: Roitblat HL, Bever TG, Terrace HS (eds) Animal cognition. Lawrence Erlbaum, Hillsdale NJ

    Google Scholar 

  • Hearst E (1987) Extinction reveals stimulus control: Latent learning of feature negative discriminations in pigeons. J Exp Psych: Animal Behav Processes 13:52–64

    Article  Google Scholar 

  • Hearst E (1978) Stimulus relationships and feature selection in learning and behavior. In: Hulse SH, Fowler H, Honig WK (eds) Cognitive processes in animal behavior. Lawrence Erlbaum, Hillsdale NJ

    Google Scholar 

  • Herrnstein RJ (1985) Riddles of natural categorization. Philos Trans R Soc Lond B 308:129–144

    Article  Google Scholar 

  • Hinton GE, Sejnowski TJ, Ackley DH (1984) Boltzmann machines: Constraint satisfaction networks that learn. Carnegie-Mellon Univ. tech. report CMU-CS-84-119

    Google Scholar 

  • Honey RC, Schachtman TR, Hall G (1987) Partial reinforcement in serial autoshaping: The role of attentional and associative factors. Learning and Motivation 18:288–300

    Article  Google Scholar 

  • Hunt E, Martin J, Store P (1966) Experiments in induction. Academic Press, New York

    Google Scholar 

  • Jenkins HM, Sainbury RS (1970) Discrimination learning with the distinctive feature on positive and negative trials. In: Mostofsky D (ed) Attention: contemporary theory and analysis. Appleton Century Crafts, New York

    Google Scholar 

  • Jenkins HM, Barnes RA, Barrera FJ (1981) Why autoshaping depends on trial spacing. In: Locurto CM, Terrace HS, Gibbon J, (eds) Autoshaping and conditioning theory. Academic Press, New York

    Google Scholar 

  • Kamin LJ (1969) Predictability, surprise, attention and conditioning. In: Campbell BA, Church RM (eds) Punishment and aversive behavior. Appleton-Century-Crofts, New York

    Google Scholar 

  • Kandel ER (1979) Behavioral biology of Aplysia. W.H. Freeman and Company, San Francisco, CA.

    Google Scholar 

  • Kandel ER (1976) Cellular basis of behavior. W.H. Freeman and Company, San Francisco, CA.

    Google Scholar 

  • Kandel ER, Schwartz J (eds) (1985) Principles of neural science. Elsevier North-Holland, New York

    Google Scholar 

  • Kaye H, Pearce JM (1984a) The strength of the orienting response during Pavlovian conditioning. J Exp Psych: Animal Behav Processes 10:90–107

    Article  Google Scholar 

  • Kaye H, Pearce JM (1984b) The strength of the orienting response during blocking. Quart J Exp Psych 36B:131–144

    Google Scholar 

  • Kaye H, Pearce JM (1987) Hippocampal lesions attenuate latent inhibition and the decline of the orienting response in rats. Quart J Exp Psych 39B:107–125

    Google Scholar 

  • Kaye H, Preston GC, Szabo L, Druiff H, Mackintosh NJ (1987) Context specificity of conditioning and latent inhibition: Evidence for a dissociation of latent inhibition and associative interference. Quart J Exp Psych 39B:127–145

    Google Scholar 

  • Kuffler SW, Nicholls JG, Martin AR (1984) From neuron to brain: A cellular approach to the function of the nervous system. Sinaver Associates, Sunderland, MA.

    Google Scholar 

  • Lara R, Arbib MA (1985) A model of the neural mechanisms responsible for pattern recognition and stimulus specific habituation in toads. Biol Cybern 51:223–237

    Article  Google Scholar 

  • Levy WB (1985) Associative changes at the synapse: LTP in the hippocampus. In: Levy WB, Anderson JA, Lehmkuhle S (eds) Synaptic modification, neuron selectivity, and nervous system organization. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Livingston RB (1967b) Reinforcement. In: Quarton GC, Melnechuck T, Schmitt FO (eds) The neurosciences. Rockefeller Univ. Press, New York 568–576.

    Google Scholar 

  • Livingston RB (1967a) Brain circuitry relating to complex behavior. In: The neurosciences. Quarton GC, Melnechuck T, Schmitt FO (eds) Rockefeller Univ. Press, New York 499–514

    Google Scholar 

  • Lolordo VM (1979a) Selective associations. In: Dickinson A, Boakes RA (eds) Mechanisms of learning and motivation. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Lolordo VM (1979b) Classical conditioning: The Pavlovian perspective. In: Bitterman ME, Lolordo VM, Overmier JB, Rashotte ME (eds) Animal learning: Survey and analysis. Plenum Press, New York

    Google Scholar 

  • Lovibond PF, Preston GS, Mackintosh NJ (1984) Context specificity of conditioning, extinction, and latent inhibition. J Exp Psych: Animal Behav Processes 10:360–375

    Article  Google Scholar 

  • Lubow RE, Rifkin B, Alek M (1976) The context effect: The relationship between stimulus preexposure and environmental preexposure determines subsequent learning. J Exp Psych: Animal Behav Processes 2:38–47

    Article  Google Scholar 

  • Lynn R (1966) Attention, arousal and the orientation reaction. Pergamon Press, New York

    Google Scholar 

  • Mackintosh NJ (1978) Cognitive or associative theories of conditioning: Implications of an analysis of blocking. In: Hulse SH, Fowler H, Honig WK (eds) Cognitive process in animal behavior. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Mackintosh NJ (1983) Conditioning and associative learning. Oxford Univ. Press, New York

    Google Scholar 

  • Mackintosh NJ (1985a) Contextual specificity or state dependency of human and animal learning. In: Nilsson L, Archer T (eds) Perspectives on learning and memory. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Mackintosh NJ (1985b) Varieties of conditioning. In: Weinberger NM, McGaugh JL, Lynch G (eds) Memory systems of the brain. The Guilford Press, New York

    Google Scholar 

  • Mackintosh NJ (1975) A theory of attention: Variations in the associability of stimuli with reinforcement. Psychol Rev 82:276–298

    Article  Google Scholar 

  • Mazur JE (1986) Learning and behavior. Pretice-Hall, Englewood Cliffs

    Google Scholar 

  • McNaughton BL (1983) Activity dependent modulation of hippocampal synaptic efficacy: Some implications for memory processes. In: Seifert W (ed) Neurobiology of the hippocampus. Academic Press, New York

    Google Scholar 

  • Medin DL (1983) Structural principles in categorization. In: Tighe TJ, Shepp BE (eds) Perception, cognition and development. Lawrence Erlbaum Associates, Hillsdale

    Google Scholar 

  • Medin DL, Schwanenftugel PJ (1981) Linear separability in classification learning. J Exp Psychol Hum Learn Mem 7:353–368

    Google Scholar 

  • Mervis CB, Rosch E (1981) Categorization of natural objects. Ann Rev Psychol 32:89–115

    Article  Google Scholar 

  • Miller RR, Schachtman TR (1985) The several roles of context at the time of retrieval. In: Context and learning. Balsam PD, Tomie A (eds) Lawrence Erlbaum Associates, Hillsdale, NJ.

    Google Scholar 

  • Minsky M, Papert S (1972) Perceptrons. MIT Press, Cambridge, MA.

    Google Scholar 

  • Moore JW, Solomon PR (1984) Forebrain — brain stem interaction: Conditioning and the hippocampus. In: Squire LR, Butters N (eds) Neuropsychology of memory. Guilford Press, New York

    Google Scholar 

  • Moore JW, Stickney KJ (1980) Formation of attentional-associative networks in real time: Role of the hippocampus and implications for conditioning. Physiol Psych 8:207–217

    Google Scholar 

  • Moore JW, Stickney KJ (1982) Goal tracking in attentional-associative networks: Spatial learning and the hippocampus. Physiol Psych 10:202–208

    Google Scholar 

  • Morris R, Baker M (1984) Does long-term potentiation/synaptic enhancement have anything to do with learning or memory. In: Squire LR, Butters N (eds) Neuropsychology of memory. Guilford Press, New York

    Google Scholar 

  • Muroga S (1971) Threshold logic and its applications. Wiley, New York

    MATH  Google Scholar 

  • Nadel L, Willner J (1980) Context and conditioning. A place for space. Physiol Psych 8:218–228

    Google Scholar 

  • Nadel L, Willner J, Kurz EM (1985) Cognitive maps and environmental context. In: Balsam PD, Tomie A (eds) Context and learning. Lawrence Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Neisser U, Weene P (1962) Hierarchies in concept attainment. J Exp Psychol 64:640–645

    Article  Google Scholar 

  • Nilsson NJ (1965) Learning machines. McGraw-Hill, New York

    MATH  Google Scholar 

  • Pearce JM (1987) An introduction to animal cognition. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Pearce JM, Hall GA (1980) A model of Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. Psychol Rev 87:532–552

    Article  Google Scholar 

  • Rescorla RA (1972) Informational variables in Pavlovian conditioning. In: Bower GH (ed) Psychology of learning and motivation, vol. 6. Academic Press, New York

    Google Scholar 

  • Rescorla RA, Wagner AR (1972) A theory of Pavlovian conditioning. In: Black AH, Prokasy WF (eds) Classical conditioning II. Appleton-Century-Crofts, New York

    Google Scholar 

  • Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representations by error propagation. In: Rumelhart DE, McClelland JL (eds), Parallel distributed processing. MIT Press, Cambridge MA

    Google Scholar 

  • Sahley CL (1984) Behavior theory and invertebrate learning. In: Marler P, Terrace HS (eds) The biology of learning. Springer-Verlag, New York

    Google Scholar 

  • Sahley C, Rudy JW, Gelperin A (1981) An analysis of associative learning in a terrestrial mollusc. J Comp Physiol 144:1–8.

    Article  Google Scholar 

  • Sahley CL, Rudy JW, Gelperin A (1984) Associative learning in a mollusc: A comparative analysis. In: Alkon DL, Farley J (eds) Primary neural substrates on learning and behavioral change. Cambridge Univ. Press, New York

    Google Scholar 

  • Salafia WR (1987) Pavlovian conditioning, information processing, and the hippocampus. In: Gormezano I, Prokasy WF, Thompson RF (eds) Classical conditioning (3rd ed) Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Schmajuk NA, Moore JW (1985) Real-time attentional models for classical conditioning and the hippocampus. Physiol Psych 13:278–290

    Google Scholar 

  • Schwartz B (1984) Psychology of learning and behavior. W. W. Norton and Company, New York

    Google Scholar 

  • Schwartzkroin PA, Taube JS (1986) Mechanisms underlying long-term potentiation. In: Alkon DL, Woody CD (eds) Neural mechanisms of conditioning. Plenum Press, New York

    Google Scholar 

  • Scott GK, Piatt JR (1985) Model of response-reinforcer contingency. J Exp Psychol: Animal Behav Processes 11:152–171

    Article  Google Scholar 

  • Seifert W (ed) (1983) Neurobiology of the hippocampus. Academic Press, New York

    Google Scholar 

  • Shepherd GM (1983) Neurobiology. Oxford Univ. Press, New York

    Google Scholar 

  • Shortliffe EH, Buchanan BG (1975) A model of inexact reasoning in medicine. Math Biosci 23:351–379

    Article  MathSciNet  Google Scholar 

  • Smith EE, Medin DL (1981) Categories and concepts. Harvard Univ. Press, Cambridge, MA

    Google Scholar 

  • Sokolov EH (1960) Neuronal models and the orienting reflex. In: Bazier MAB (ed) The central nervous system and behavior. Josiah Macy Jr. Foundation, New York

    Google Scholar 

  • Sokolov EN (1963) The orienting reflex. Ann Rev Psych 25:545–580

    Google Scholar 

  • Solomon PR (1977) Role of the hippocampus in blocking and conditioned inhibition of the rabbit’s nictitating membrane response. J Comp Physiol Psychol 91:407–417

    Article  Google Scholar 

  • Solomon PR (1979) Temporal versus spatial information processing theories of hippocampal function. Psych Bull 86:1272–1279

    Article  Google Scholar 

  • Solomon PR (1987) Neural and behavioral mechanism involved in learning to ignore irrelevant stimuli. In: Gormezano I, Prokasy WF, Thompson RF (eds) Classical conditioning (3rd ed) Hillsdale, NJ: Lawrence Erlbaum Associates (1987)

    Google Scholar 

  • Solomon PR, Moore JW (1975) Latent inhibition and stimulus generalization of the classically conditioned nictitating membrane response in rabbits following dorsal hippocampal ablation. J Comp Physiol Psychol 89:1192–1203

    Article  Google Scholar 

  • Squire LR (1982) The neuropsychology of human memory. Annu Rev Neurosci 5:241–273

    Article  Google Scholar 

  • Squire LR (1983) The hippocampus and the neuropsychology of memory. In: Seifert W (ed) Neurobiology of the hippocampus. Academic Press New York

    Google Scholar 

  • Squire LR, Cohen NJ (1984) Human memory and amnesia. In: Lynch G, McGaugh JL, Weinberger NM (eds) Neurobiology of learning and memory. Guilford Press, New York

    Google Scholar 

  • Squire LR, Cohen NJ, Nadel L (1984) The medial temporal region and memory consolidation: A new hypothesis. In: Weingartner H, Parker E (eds) Memory consolidation. Lawrence Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Tesauro G (1986) Simple neural models of classical conditioning. Biol Cybern 55:187–200

    MathSciNet  Google Scholar 

  • Teyler TJ, Discenna P (1984) Long-term potentiation as a candidate mnemonic device. Brain Res Rev 7:15–28

    Article  Google Scholar 

  • Teyler TJ, Discenna P (1987) Long-term potentiation. Ann Rev Neurosci 10:131–161

    Article  Google Scholar 

  • Volper DJ, Hampson SE (1986) Connectionistic models of Boolean category representation. Biol Cybern 54:393–406

    Article  MATH  Google Scholar 

  • Volper DJ, Hampson SE (1987) Learning and using specific instances. Biol Cybern 57:57–71

    Article  Google Scholar 

  • Wagner AR (1976) Priming in STM: An information processing mechanism for self-generated or retrieval-generated depression in performance. In: Tighe TJ, Leaton RN (eds) Habituation: perspectives from child development, animal behavior and neurophysiology. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Wagner AR (1978) Expectancies and the priming of STM. In: Hulse SH, Fowler H, Honig WK (eds) Cognitive processes in animal behavior. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Wagner AR (1979) Habituation and memory. In: Dickinson A, Boakes RA (eds) Mechanisms of learning and motivation. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  • Wattenmaker WD, Dewey GI, Murphy TD, Medin DL (1986) Linear separability and concept learning: context, relational properties, and concept naturalness. Cog Psych 18:158–194

    Article  Google Scholar 

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Authors and Affiliations

  1. Information and Computer Science Department, University of California, Irvine, USA

    S. E. Hampson & D. J. Volper

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  1. S. E. Hampson
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Editors and Affiliations

  1. Center for Neural Engineering, University of Southern California, Los Angeles, CA, 90089-0782, USA

    Michael A. Arbib

  2. Department of Mathematical Engineering and Instrumentation Physics, University of Tokyo, Tokyo, 113, Japan

    Shun-ichi Amari

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Hampson, S.E., Volper, D.J. (1989). Feature Handling in Learning Algorithms. In: Arbib, M.A., Amari, Si. (eds) Dynamic Interactions in Neural Networks: Models and Data. Research Notes in Neural Computing, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4536-0_6

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  • DOI: https://doi.org/10.1007/978-1-4612-4536-0_6

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