Creating hierarchical categories using cell assemblies

Figures & data

Figure 1. 80 Neurons in the cat pattern.

Table 1. Correlations between fully activated CAs.

	Dog	Cat	Rat	Mammal
Dog	1.0	−0.20	0.20	0.65
Cat		1.0	−0.20	0.22
Rat			1.0	0.65

Figure 2. An active cat CA.

Table 2. Correlations between CA runs on one net.

	Dog2	Dog3	Cat1	Cat2	Cat3	Rat1	Rat2	Rat3
Dog1	0.73/0.45	0.73/0.48	−0.12/−0.11	−0.10/−0.10	−0.05/−0.08	0.29/0.47	0.34/0.48	0.32/0.44
Dog2		0.74/0.53	−0.13/−0.10	−0.10/−0.11	−0.12/−0.10	0.31/0.45	0.33/0.44	0.35/0.49
Dog3			−0.15/−0.08	−0.12/−0.08	−0.10/−0.10	0.33/0.42	0.33/0.46	0.35/0.46
Cat1				0.86/0.60	0.84/0.56	−0.11/−0.09	−0.11/−0.10	−0.15/−0.11
Cat2					0.81/0.59	−0.10/−0.09	−0.07/−0.10	−0.13/−0.10
Cat3						−0.08/−0.10	−0.06/−0.10	−0.10/−0.10
Rat1							0.72/0.50	0.76/0.47
Rat2								0.69/0.48

Table 3. Correlations between superordinate and subordinate CA runs.

	Mammal2	Mammal3	Dog1	Cat1	Rat1
Mammal1	0.67/0.48	0.67/0.51	0.52/0.39	0.30/−0.10	0.48/0.44
Mammal2		0.68/0.52	0.36/0.46	0.32/−0.11	0.41/0.47
Mammal3			0.39/0.50	0.35/−0.09	0.42/0.49

Table 4. Correlations between base categories.

	Dog	Cat	Rat
Dog	0.72/0.48	−0.11/−0.07	0.35/0.45
Cat		0.83/0.55	−0.09/−0.07
Rat			0.71/0.49

Table 5. Average synaptic weight from one feature to another.