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T. Penna

27 papers hereh-index 171.2k citations75 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author4
  • middle author8
  • last author14

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech11
  • adap-org5
  • cond-mat4
  • cond-mat.dis-nn1
  • cond-mat.soft1
  • cs.LG1
same name
  • T. Penna — 2 papers, h 2
  • T. Penna — 1 paper, h 3
  • T. Penna — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19952024
most citedA Bit-String Model for Biological Aging

300 citations · 748 across the 27 of their papers we have counts for

collaborators
Showing cond-matShow all

4 papers · 1 filter

cond-mat2001

Dynamic Drop Models

P. M. C. de Oliveira, T. J. P. Penna, A. R. Lima +3

We follow the dynamic evolution of a cluster of Ising spins pointing up surrounded by other spins pointing down, on a lattice. The cluster represents a liquid drop. Under a microsc…

cond-mat1995★ 1 cited

Preprocessing in Attractor Neural Networks

C. G. Carvalhaes, A. T. Costa, T. J. P. Penna

Preprocessing the input patterns seems the simplest approach to invariant pattern recognition by neural networks. The Fourier transform has been proposed as an appropriate and eleg…

cond-mat1995★ 34 cited

Efficient Monte Carlo Simulation of Biological Aging

T. J. P. Penna, D. Stauffer

A bit-string model of biological life-histories is parallelized, with hundreds of millions of individuals. It gives the desired drastic decay of survival probabilities with increas…

cond-mat1995★ 300 cited

A Bit-String Model for Biological Aging

Thadeu J. P. Penna

We present a simple model for biological aging. We studied it through computer simulations and we have found this model to reflect some features of real populations.

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.