Abstract
This paper reports a new finding on functionalities of trembling, the bodily manifestation of fear and joy. We consider trembling of a physically-simulated agent consisting of a vision system and a neural system. It is demonstrated that the noise to visual streams generated by trembling enhances signal to noise ratio of the neural system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Darwin, C.: The Expression of the Emotions in Man and Animals, 3rd edn. Oxford University Press, Oxford (1996)
Pfeifer, R., Scheier, C.: Understanding Intelligence. MIT Press, Cambridge (1999)
Damasio, A.R.: Descartes’ Error: Emotion, Reason, and the Human Brain. Grosset/Putnam (1994)
Sartre, J.-P.: Sketch for a Theory of the Emotions. Taylor and Francis, Abington (1971)
James, W.: What is an emotion? Mind 9(34), 188–205 (1884)
LeDoux, J.: The Emotional Brain: the Mysterious Underpinnings of Emotional Life. Simon and Schuster (1996)
Ekman, P., Friesen, W.V.: Unmasking the Face. Prentice Hall, Englewood Cliffs (1957)
Ehlers, A., Margraf, J., Rotch, W.T., Taylor, B., Birbaumer, N.: Anxiety induced by false heart rate feedback in patients with panic disorder. Behaviour research and therapy 26(1), 1–11 (1988)
Cannon, W.B.: Bodily Changes in Pain, Hunger, Fear and Rage: An Account of Recent Researches into the Function of Emotional Excitement. Appleton, New York (1915)
Wiesenfeld, K., Moss, F.: Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs. Nature 373(5), 33–36 (1995)
Mitaim, S., Kosko, B.: Adaptive stochastic resonance. Proceedings of the IEEE 86(11), 2152–2183 (1998)
Wang, S., Liu, F., Wang, W.: Impact of spatially correlated noise on neural firing. Physical Review E 69, 011909 (2004)
Hamaguchi, K., Okada, M., Kubota, S., Aihara, K.: Stochastic resonance of localized activity driven by common noise. Biological Cybernetics 92, 438–444 (2005)
Nozaki, D., Collins, J.J., Yamamoto, Y.: Mechanism of stochastic resonance enhancement in neuronal models driven by 1/f noise. Physical Review E 60(4), 4637–4644 (1999)
Kosko, B., Mitaim, S.: Stochastic resonance in noisy threshold neurons. Neural Networks 16, 755–761 (2003)
Inchiosa, M.E., Bulsara, A.R.: Nonlinear dynamic elements with noisy sinusoidal forcing: Enhancing response via nonlinear coupling. Physical Review E 52(1), 327–339 (1995)
Beer, R.D.: Dynamical approaches to cognitive science. Trends in Cognitive Science 4(3), 91–99 (2000)
Cañamero, L.: Emotion understanding from the perspective of autonomous robots research. Neural Networks 18, 445–455 (2005)
Adolph, K.: Specificity of learning: Why infants fall over a veritable cliff. Psychological Science 11, 290–295 (2000)
Adolphs, R., Gosselin, F., Buchanan, T.W., Tranel, D., Schyns, P., Damasio, A.R.: A mechanism for impaired fear recognition after amygdala damage. Nature 433(6), 68–72 (2005)
Burton, G., Turvey, M.T.: Perceiving the lengths of rods that are held but not wielded. Ecological Psychology 2(4), 295–324 (1990)
Joseph, R.: Environmental influences on neural platicity, the limbic system, emotional developmental and attachment: a review. Child Psychiatry Hum. Dev. 29, 189–208 (1999)
Blackmore, S.-J., Wolpert, D.M., Frith, C.D.: Central cancellation of self-produced tickle sensation. Nature Neuroscience 1(7), 635–640 (1998)
Schultz, W., Dayan, P., Montague, P.R.: A neural substrate of prediction and reward. Science 275, 1593–1599 (1997)
Schultz, W.: Predictive reward signal of dopamine neurons. Journal of Neurophysiology 80, 1–27 (1998)
Yu, J.A., Dayan, P.: Acetylcholine in cortical inference. Neural Networks 15, 719–730 (2002)
Goldman, M.S., Golowasch, J., Marder, E., Abbott, L.F.: Global structure, robustness, and modulation of neuronal models. The Journal of Neuroscience 21(14), 5229–5238 (2001)
Lungarella, M., Pegors, T., Bulwinkle, D., Sporns, O.: Methods for quantifying the information structure of sensory and motor data. Neuroinformatics 3, 243–262 (2005)
Doya, K.: Metalearning and neuromodulation. Neural Networks 15, 495–506 (2002)
Doya, K., Uchibe, E.: The cyber rodent project: Exploration of adaptive mechanisms for self-preservation and self-reproduction. Adaptive Behavior 13(2), 149–160 (2005)
Levenson, R.W.: Autonomic Nervous System Differences among Emotions. Psychological Science 3, 23–27 (1992)
Gammaitoni, L., Hänggi, P., Jung, P., Marchesoni, F.: Stochastic Resonance. Reviews of Modern Physics 70(1), 223–287 (1998)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yonekura, S., Kuniyoshi, Y., Kawaguchi, Y. (2008). Detection of Weak Signals by Emotion-Derived Stochastic Resonance. In: Asada, M., Hallam, J.C.T., Meyer, JA., Tani, J. (eds) From Animals to Animats 10. SAB 2008. Lecture Notes in Computer Science(), vol 5040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69134-1_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-69134-1_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69133-4
Online ISBN: 978-3-540-69134-1
eBook Packages: Computer ScienceComputer Science (R0)