L. Ingber, Statistical mechanics of neocortical interactions. EEG dispersion relations, IEEE Trans. Biomed. Eng. 32, 91-94 (1985). Home/Search Document Details and Download
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Very Fast Simulated Re-Annealing - Ingber (1989) (68 citations) Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. EEG dispersion relations, IEEE Trans. Biomed. Eng. 32, 91-94 (1985).
Very Fast Simulated Re-Annealing - Ingber (1989) (68 citations) Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. Derivation of short-term-memory capacity, Phys. Rev. A 29, 3346-3358 (1984).
Very Fast Simulated Re-Annealing - Ingber (1989) (68 citations) Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. Dynamics of synaptic modification, Phys. Rev. A 28, 395-416 (1983).
A Simple Options Training Model - Lester Ingber Drw (1999) Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Training and testing canonical momenta indicators of EEG, Mathl. Computer Modelling 27 (3), 33-64 (1998).
A Simple Options Training Model - Lester Ingber Drw (1999) Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Applications of canonical momenta indicators to electroencephalography, Phys. Rev. E 55 (4), 4578-4593 (1997).
Probability Tree Algorithm for General Diffusion.. - Ingber, Chen, Mondescu, .. (2001) Self-citation (Ingber) (Correct)
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L. Ingber and P.L. Nunez, Statistical mechanics of neocortical interactions: High resolution pathintegral calculation of short-term memory, Phys. Rev. E 51 (5), 5074-5083 (1995).
Probability Tree Algorithm for General Diffusion.. - Ingber, Chen, Mondescu, .. (2001) Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Path-integral evolution of short-term memory, Phys. Rev. E 49 (5B), 4652-4664 (1994).
Statistical Mechanics of Portfolios of Options - Lester Ingber Lester Self-citation (Ingber) (Correct)
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L. Ingber,"Statistical mechanics of neocortical interactions: Training and testing canonical momenta indicators of EEG," Mathl. Computer Modelling 27,33-64 (1998). [URL http://www.ingber.com/smni98_cmi_test.pdf]
Statistical Mechanics of Portfolios of Options - Lester Ingber Lester Self-citation (Ingber) (Correct)
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L. Ingber,"Statistical mechanics of neocortical interactions: Applications of canonical momenta indicators to electroencephalography," Phys. Rev. E 55,4578-4593 (1997). [URL http://www.ingber.com/smni97_cmi.pdf]
Statistical Mechanics of Portfolios of Options - Lester Ingber Lester Self-citation (Ingber) (Correct)
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L. Ingber,"Statistical mechanics of neocortical interactions: Multiple scales of EEG," i n Frontier Science in EEG: Continuous Waveform Analysis (Electroencephal. clin. Neurophysiol. Suppl. 45), ed. by R.M. Dasheiffand D.J. Vincent (Elsevier,Amsterdam, 1996.
Statistical Mechanics of Portfolios of Options - Lester Ingber Lester Self-citation (Ingber) (Correct)
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L. Ingber and P.L. Nunez, "Statistical mechanics of neocortical interactions: High resolution pathintegral calculation of short-term memory," Phys. Rev. E 51,5074-5083 (1995). [URL http://www.ingber.com/smni95_stm.pdf]
Statistical Mechanics of Portfolios of Options - Lester Ingber Lester Self-citation (Ingber) (Correct)
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L. Ingber,"Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography," Phys. Rev. A 44,4017-4060 (1991). [URL http://www.ingber.com/smni91_eeg.pdf]
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Training and testing canonical momenta indicators of EEG, Mathl. Computer Modelling 27 (3), 33-64 (1998).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Applications of canonical momenta indicators to electroencephalography, Phys. Rev. E 55 (4), 4578-4593 (1997).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Multiple scales of EEG, in Frontier Science in EEG: Continuous Waveform Analysis (Electroencephal. clin. Neurophysiol. Suppl. 45), (Edited by R.M. Dasheiff and D.J. Vincent), pp. 79-112, Elsevier, Amsterdam, (1996).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Constraints on 40 Hz models of shortterm memory, Phys. Rev. E 52 (4), 4561-4563 (1995).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions, Bull. Am. Phys. Soc. 31, 868 (1986).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. EEG dispersion relations, IEEE Trans. Biomed. Eng. 32, 91-94 (1985).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. Derivation of short-term-memory capacity, Phys. Rev. A 29, 3346-3358 (1984).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. Dynamics of synaptic modification, Phys. Rev. A 28, 395-416 (1983).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. I. Basic formulation, Physica D 5, 83-107 (1982).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
No context found.
L. Ingber and P.L. Nunez, Statistical mechanics of neocortical interactions: High resolution pathintegral calculation of short-term memory, Phys. Rev. E 51 (5), 5074-5083 (1995).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
No context found.
L. Ingber, Statistical mechanics of neocortical interactions: Path-integral evolution of short-term memory, Phys. Rev. E 49 (5B), 4652-4664 (1994).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Stability and duration of the 7+-2 rule of short-term-memory capacity, Phys. Rev. A 31, 1183-1186 (1985).
Unknown - Ingber Data Mining Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography, Phys. Rev. A 44 (6), 4017-4060 (1991).
Generic Mesoscopic Neural Networks Based on Statistical Mechanics .. - Ingber (1992) (2 citations) Self-citation (Ingber) (Correct)
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L. Ingber, "Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography, " Phys. Rev. A 44, 4017-4060 (1991).
Generic Mesoscopic Neural Networks Based on Statistical Mechanics .. - Ingber (1992) (2 citations) Self-citation (Ingber) (Correct)
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L. Ingber, "Statistical mechanics of neocortical interactions," Bull. Am. Phys. Soc. 31, 868 (1986).
Generic Mesoscopic Neural Networks Based on Statistical Mechanics .. - Ingber (1992) (2 citations) Self-citation (Ingber) (Correct)
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L. Ingber, "Statistical mechanics of neocortical interactions: Stability and duration of the 72 rule of short-term-memory capacity," Phys. Rev. A 31, 1183-1186 (1985).
Generic Mesoscopic Neural Networks Based on Statistical Mechanics .. - Ingber (1992) (2 citations) Self-citation (Ingber) (Correct)
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L. Ingber, "Statistical mechanics of neocortical interactions. EEG dispersion relations," IEEE Trans. Biomed. Eng. 32, 91-94 (1985).
Generic Mesoscopic Neural Networks Based on Statistical Mechanics .. - Ingber (1992) (2 citations) Self-citation (Ingber) (Correct)
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L. Ingber, "Statistical mechanics of neocortical interactions. Derivation of short-term-memory capacity," Phys. Rev. A 29, 3346-3358 (1984).
Generic Mesoscopic Neural Networks Based on Statistical Mechanics .. - Ingber (1992) (2 citations) Self-citation (Ingber) (Correct)
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L. Ingber, "Statistical mechanics of neocortical interactions. Dynamics of synaptic modification," Phys. Rev. A 28, 395-416 (1983).
Generic Mesoscopic Neural Networks Based on Statistical Mechanics .. - Ingber (1992) (2 citations) Self-citation (Ingber) (Correct)
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L. Ingber, "Statistical mechanics of neocortical interactions. I. Basic formulation," Physica D 5, 83-107 (1982).
Unknown - Application Of Statistical Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Stability and duration of the 7+-2 rule of short-term-memory capacity, Phys. Rev. A 31, 1183-1186 (1985).
Unknown - Application Of Statistical Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. EEG dispersion relations, IEEE Trans. Biomed. Eng. 32, 91-94 (1985).
Unknown - Application Of Statistical Self-citation (Ingber) (Correct)
No context found.
L. Ingber, Statistical mechanics of neocortical interactions. Derivation of short-term-memory capacity, Phys. Rev. A 29, 3346-3358 (1984).
Unknown - Application Of Statistical Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions. Dynamics of synaptic modification, Phys. Rev. A 28, 395-416 (1983).
Statistical Mechanics of Financial Markets: Exponential.. - Ingber, Wilson Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Stability and duration of the 7+-2 rule of short-term-memory capacity, Phys. Rev. A 31, 1183-1186 (1985).
Statistical Mechanics of Financial Markets: Exponential.. - Ingber, Wilson Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography, Phys. Rev. A 44 (6), 4017-4060 (1991).
Statistical Mechanics of Financial Markets: Exponential.. - Ingber, Wilson Self-citation (Ingber) (Correct)
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L. Ingber and P.L. Nunez, Statistical mechanics of neocortical interactions: High resolution pathintegral calculation of short-term memory, Phys. Rev. E 51 (5), 5074-5083 (1995).
Statistical Mechanics of Financial Markets: Exponential.. - Ingber, Wilson Self-citation (Ingber) (Correct)
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L. Ingber, Statistical mechanics of neocortical interactions: Path-integral evolution of short-term memory, Phys. Rev. E 49 (5B), 4652-4664 (1994).
Genetic Algorithms And Very Fast Simulated Reannealing: A.. - Ingber, Rosen (1992) (52 citations) Self-citation (Ingber) (Correct)
.... An algorithm of Very Fast Simulated Reannealing (VFSR) has been developed to fit empirical data to a theoretical cost function over a D dimensional parameter space [6] This methodology has been applied to several systems, ranging from combat analysis [7,8] to finance [9,10] to neuroscience [11,12]. This Section gives a self contained description of VFSR. The general outline of presentation of simulated annealing heuristics here closely follows that of Szu and Hartley [13] 3.1. Boltzmann Annealing (BA) Boltzmann annealing was essentially introduced as a Monte Carlo importance sampling ....
....However, we also have outlined how VFSR can be parallelized, at the stage of preparing random numbers for generating points, and at the stage for preparing cost functions for acceptance criteria. Additionally, when fitting dynamic systems, e.g. as performed for three physical systems to date [7,9,11], parallelization is attained by independently calculating each time epoch s contribution to the cost function. An interesting variation of GA developed by Ackley [22] Stochastic Iterated Genetic Hillclimbing (SIGH) combines simulated annealing, hillclimbing, and genetic algorithms, creating a ....
L. Ingber, Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography, Phys. Rev. A 44 (6), 4017-4060 (1991).
Canonical Momenta Indicators of Financial Markets and.. - Lester Ingber Lester (1996) Self-citation (Ingber) (Correct)
....and ftp.ingber.com MISC.DIR. 4. Extrapolations to EEG 4.1. Customized Momenta Indicators of EEG These techniques are quite generic, and can be applied to a model of statistical mechanics of neocortical interactions (SMNI) which has utilized similar mathematical and numerical algorithms [20 23,25,26,29,30,49]. In this approach, the SMNI model is fit to EEG data, e.g. as previously performed [25] This develops a zeroth order guess for SMNI parameters for a given subject s training data. Next, ASA is used recursively to seek parameterized predictor rules, e.g. modeled according to guidelines used by ....
L. Ingber, "Statistical mechanics of neocortical interactions. I. Basic formulation," Physica D 5, pp. 83-107, 1982.
Canonical Momenta Indicators of Financial Markets and.. - Lester Ingber Lester (1996) Self-citation (Ingber) (Correct)
....have been applied to complex large scale physical problems, demonstrating that observed data can be described by the use of these algebraic functional forms. Success was gained for large scale systems in neuroscience, in a series of papers on statistical mechanics of neocortical interactions [20 30], and in nuclear physics [31 33] This methodology has been used for problems in combat analyses [19,34 37] These methods have been suggested for financial markets [1] applied to a term structure model of interest rates [2,3] and to optimization of trading [6] 2.3. Statistical development ....
....and ftp.ingber.com MISC.DIR. 4. Extrapolations to EEG 4.1. Customized Momenta Indicators of EEG These techniques are quite generic, and can be applied to a model of statistical mechanics of neocortical interactions (SMNI) which has utilized similar mathematical and numerical algorithms [20 23,25,26,29,30,49]. In this approach, the SMNI model is fit to EEG data, e.g. as previously performed [25] This develops a zeroth order guess for SMNI parameters for a given subject s training data. Next, ASA is used recursively to seek parameterized predictor rules, e.g. modeled according to guidelines used by ....
L. Ingber, "Statistical mechanics of neocortical interactions: Multiple scales of EEG," Electroencephal. clin. Neurophysiol. , pp. (to be published), 1996.
Canonical Momenta Indicators of Financial Markets and.. - Lester Ingber Lester (1996) Self-citation (Ingber) (Correct)
No context found.
L. Ingber and P.L. Nunez, "Statistical mechanics of neocortical interactions: High resolution path-integral calculation of short-term memory," Phys. Rev. E 51 (5), pp. 5074-5083, 1995.
Canonical Momenta Indicators of Financial Markets and.. - Lester Ingber Lester (1996) Self-citation (Ingber) (Correct)
No context found.
L. Ingber, "Statistical mechanics of neocortical interactions: Path-integral evolution of short-term memory," Phys. Rev. E 49 (5B), pp. 4652-4664, 1994.
Canonical Momenta Indicators of Financial Markets and.. - Lester Ingber Lester (1996) Self-citation (Ingber) (Correct)
....indices is used. Vertical bars on an index, e.g. j , imply no sum is to be taken on repeated indices. # is used here to emphasize that the most appropriate time scale for trading may not be real time t . Via a somewhat lengthy, albeit instructive calculation, outlined in several other papers [1,3,25], involving an intermediate derivation of a corresponding Fokker Planck or Schr odinger type equation for the conditional probability distribution P[M(#) M(# 0 ) the Langevin rate Eq. 2) is developed into the probability distribution for M at long time macroscopic time event #= u 1)# # 0 ....
....and ftp.ingber.com MISC.DIR. 4. Extrapolations to EEG 4.1. Customized Momenta Indicators of EEG These techniques are quite generic, and can be applied to a model of statistical mechanics of neocortical interactions (SMNI) which has utilized similar mathematical and numerical algorithms [20 23,25,26,29,30,49]. In this approach, the SMNI model is fit to EEG data, e.g. as previously performed [25] This develops a zeroth order guess for SMNI parameters for a given subject s training data. Next, ASA is used recursively to seek parameterized predictor rules, e.g. modeled according to guidelines used by ....
[Article contains additional citation context not shown here]
L. Ingber, "Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography," Phys. Rev. A 44 (6), pp. 4017-4060, 1991.
Using Artificial Intelligence for Model Selection - Goldstein, Murray, Yang (2004) (Correct)
No context found.
Lester Ingber. Statistical mechanics of neocortical interactions: Canonical momenta indicators of electroencephalography. Physical Review E, 55(4):4578-4593, 1997. Also available at http://www.ingber.com/smni97 cmi.pdf.
Using Artificial Intelligence for Model Selection - Goldstein, Murray, Yang (2004) (Correct)
No context found.
Lester Ingber. Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography. Physical Review A, 44(6):4017-4060, 1991. Also available at http://www.ingber.com/smni91 eeg.pdf.
The Wave Packet: An Action Potential For The 21st Century - Freeman (2003) (Correct)
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Ingber L., Statistical mechanics of neocortical interactions: Canonical moments indicators of electroencephalography, Phys. Rev. E 55 (1997) pp. 4578--4593.
The Wave Packet: An Action Potential For The 21st Century - Freeman (2003) (Correct)
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Ingber L., Statistical mechanics of neocortical interactions --- Constraints on 40 Hz models of short-term memory, Phys. Rev. E 52 (1995) pp. 4561--4563.
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